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data</title> <meta name="description" content="Search results for: satellite data"> <meta name="keywords" content="satellite data"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block d-lg-none navbar-toggler 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id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="satellite data"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 25394</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: satellite data</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">25394</span> Comparative Study of Accuracy of Land Cover/Land Use Mapping Using Medium Resolution Satellite Imagery: A Case Study</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=M.%20C.%20Paliwal">M. C. Paliwal</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20K.%20Jain"> A. K. Jain</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20K.%20Katiyar"> S. K. Katiyar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Classification of satellite imagery is very important for the assessment of its accuracy. In order to determine the accuracy of the classified image, usually the assumed-true data are derived from ground truth data using Global Positioning System. The data collected from satellite imagery and ground truth data is then compared to find out the accuracy of data and error matrices are prepared. Overall and individual accuracies are calculated using different methods. The study illustrates advanced classification and accuracy assessment of land use/land cover mapping using satellite imagery. IRS-1C-LISS IV data were used for classification of satellite imagery. The satellite image was classified using the software in fourteen classes namely water bodies, agricultural fields, forest land, urban settlement, barren land and unclassified area etc. Classification of satellite imagery and calculation of accuracy was done by using ERDAS-Imagine software to find out the best method. This study is based on the data collected for Bhopal city boundaries of Madhya Pradesh State of India. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=resolution" title="resolution">resolution</a>, <a href="https://publications.waset.org/abstracts/search?q=accuracy%20assessment" title=" accuracy assessment"> accuracy assessment</a>, <a href="https://publications.waset.org/abstracts/search?q=land%20use%20mapping" title=" land use mapping"> land use mapping</a>, <a href="https://publications.waset.org/abstracts/search?q=satellite%20imagery" title=" satellite imagery"> satellite imagery</a>, <a href="https://publications.waset.org/abstracts/search?q=ground%20truth%20data" title=" ground truth data"> ground truth data</a>, <a href="https://publications.waset.org/abstracts/search?q=error%20matrices" title=" error matrices"> error matrices</a> </p> <a href="https://publications.waset.org/abstracts/13294/comparative-study-of-accuracy-of-land-coverland-use-mapping-using-medium-resolution-satellite-imagery-a-case-study" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/13294.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">507</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">25393</span> An Agent-Based Modelling Simulation Approach to Calculate Processing Delay of GEO Satellite Payload</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=V.%20Vicente%20E.%20Mujica">V. Vicente E. Mujica</a>, <a href="https://publications.waset.org/abstracts/search?q=Gustavo%20Gonzalez"> Gustavo Gonzalez</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The global coverage of broadband multimedia and internet-based services in terrestrial-satellite networks demand particular interests for satellite providers in order to enhance services with low latencies and high signal quality to diverse users. In particular, the delay of on-board processing is an inherent source of latency in a satellite communication that sometimes is discarded for the end-to-end delay of the satellite link. The frame work for this paper includes modelling of an on-orbit satellite payload using an agent model that can reproduce the properties of processing delays. In essence, a comparison of different spatial interpolation methods is carried out to evaluate physical data obtained by an GEO satellite in order to define a discretization function for determining that delay. Furthermore, the performance of the proposed agent and the development of a delay discretization function are together validated by simulating an hybrid satellite and terrestrial network. Simulation results show high accuracy according to the characteristics of initial data points of processing delay for Ku bands. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=terrestrial-satellite%20networks" title="terrestrial-satellite networks">terrestrial-satellite networks</a>, <a href="https://publications.waset.org/abstracts/search?q=latency" title=" latency"> latency</a>, <a href="https://publications.waset.org/abstracts/search?q=on-orbit%20satellite%20payload" title=" on-orbit satellite payload"> on-orbit satellite payload</a>, <a href="https://publications.waset.org/abstracts/search?q=simulation" title=" simulation"> simulation</a> </p> <a href="https://publications.waset.org/abstracts/72448/an-agent-based-modelling-simulation-approach-to-calculate-processing-delay-of-geo-satellite-payload" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/72448.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">271</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">25392</span> Routing in IP/LEO Satellite Communication Systems: Past, Present and Future</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mohammed%20Hussein">Mohammed Hussein</a>, <a href="https://publications.waset.org/abstracts/search?q=Abualseoud%20Hanani"> Abualseoud Hanani</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In Low Earth Orbit (LEO) satellite constellation system, routing data from the source all the way to the destination constitutes a daunting challenge because LEO satellite constellation resources are spare and the high speed movement of LEO satellites results in a highly dynamic network topology. This situation limits the applicability of traditional routing approaches that rely on exchanging topology information upon change or setup of a connection. Consequently, in recent years, many routing algorithms and implementation strategies for satellite constellation networks with Inter Satellite Links (ISLs) have been proposed. In this article, we summarize and classify some of the most representative solutions according to their objectives, and discuss their advantages and disadvantages. Finally, with a look into the future, we present some of the new challenges and opportunities for LEO satellite constellations in general and routing protocols in particular. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=LEO%20satellite%20constellations" title="LEO satellite constellations">LEO satellite constellations</a>, <a href="https://publications.waset.org/abstracts/search?q=dynamic%20topology" title=" dynamic topology"> dynamic topology</a>, <a href="https://publications.waset.org/abstracts/search?q=IP%20routing" title=" IP routing"> IP routing</a>, <a href="https://publications.waset.org/abstracts/search?q=inter-satellite-links" title=" inter-satellite-links"> inter-satellite-links</a> </p> <a href="https://publications.waset.org/abstracts/54344/routing-in-ipleo-satellite-communication-systems-past-present-and-future" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/54344.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">381</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">25391</span> Research on the Strategy of Orbital Avoidance for Optical Remote Sensing Satellite</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Zheng%20DianXun">Zheng DianXun</a>, <a href="https://publications.waset.org/abstracts/search?q=Cheng%20Bo"> Cheng Bo</a>, <a href="https://publications.waset.org/abstracts/search?q=Lin%20Hetong"> Lin Hetong</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper focuses on the orbit avoidance strategies of optical remote sensing satellite. The optical remote sensing satellite, moving along the Sun-synchronous orbit, is equipped with laser warning equipment to alert CCD camera from laser attacks. There are three ways to protect the CCD camera: closing the camera cover, satellite attitude maneuver and satellite orbit avoidance. In order to enhance the safety of optical remote sensing satellite in orbit, this paper explores the strategy of satellite avoidance. The avoidance strategy is expressed as the evasion of pre-determined target points in the orbital coordinates of virtual satellite. The so-called virtual satellite is a passive vehicle which superposes the satellite at the initial stage of avoidance. The target points share the consistent cycle time and the same semi-major axis with the virtual satellite, which ensures the properties of the satellite鈥檚 Sun-synchronous orbit remain unchanged. Moreover, to further strengthen the avoidance capability of satellite, it can perform multi-target-points avoid maneuvers. On occasions of fulfilling the satellite orbit tasks, the orbit can be restored back to virtual satellite through orbit maneuvers. Thereinto, the avoid maneuvers adopts pulse guidance. And the fuel consumption is also optimized. The avoidance strategy discussed in this article is applicable to optical remote sensing satellite when it is encountered with hostile attack of space-based laser anti-satellite. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=optical%20remote%20sensing%20satellite" title="optical remote sensing satellite">optical remote sensing satellite</a>, <a href="https://publications.waset.org/abstracts/search?q=satellite%20avoidance" title=" satellite avoidance"> satellite avoidance</a>, <a href="https://publications.waset.org/abstracts/search?q=virtual%20satellite" title=" virtual satellite"> virtual satellite</a>, <a href="https://publications.waset.org/abstracts/search?q=avoid%20target-point" title=" avoid target-point"> avoid target-point</a>, <a href="https://publications.waset.org/abstracts/search?q=avoid%20maneuver" title=" avoid maneuver"> avoid maneuver</a> </p> <a href="https://publications.waset.org/abstracts/34217/research-on-the-strategy-of-orbital-avoidance-for-optical-remote-sensing-satellite" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/34217.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">404</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">25390</span> Authorization of Commercial Communication Satellite Grounds for Promoting Turkish Data Relay System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Celal%20Dudak">Celal Dudak</a>, <a href="https://publications.waset.org/abstracts/search?q=Asl%C4%B1%20Utku"> Asl谋 Utku</a>, <a href="https://publications.waset.org/abstracts/search?q=Burak%20Ya%C4%9Flio%C4%9Flu"> Burak Ya臒lio臒lu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Uninterrupted and continuous satellite communication through the whole orbit time is becoming more indispensable every day. Data relay systems are developed and built for various high/low data rate information exchanges like TDRSS of USA and EDRSS of Europe. In these missions, a couple of task-dedicated communication satellites exist. In this regard, for Turkey a data relay system is attempted to be defined exchanging low data rate information (i.e. TTC) for Earth-observing LEO satellites appointing commercial GEO communication satellites all over the world. First, justification of this attempt is given, demonstrating duration enhancements in the link. Discussion of preference of RF communication is, also, given instead of laser communication. Then, preferred communication GEOs – including TURKSAT4A already belonging to Turkey- are given, together with the coverage enhancements through STK simulations and the corresponding link budget. Also, a block diagram of the communication system is given on the LEO satellite. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=communication" title="communication">communication</a>, <a href="https://publications.waset.org/abstracts/search?q=GEO%20satellite" title=" GEO satellite"> GEO satellite</a>, <a href="https://publications.waset.org/abstracts/search?q=data%20relay%20system" title=" data relay system"> data relay system</a>, <a href="https://publications.waset.org/abstracts/search?q=coverage" title=" coverage"> coverage</a> </p> <a href="https://publications.waset.org/abstracts/45926/authorization-of-commercial-communication-satellite-grounds-for-promoting-turkish-data-relay-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/45926.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">441</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">25389</span> The Strategy of Orbit Avoidance for Optical Remote Sensing Satellite</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Dianxun%20Zheng">Dianxun Zheng</a>, <a href="https://publications.waset.org/abstracts/search?q=Wuxing%20Jing"> Wuxing Jing</a>, <a href="https://publications.waset.org/abstracts/search?q=Lin%20Hetong"> Lin Hetong</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Optical remote sensing satellite, always running on the Sun-synchronous orbit, equipped laser warning equipment to alert CCD camera from laser attack. There have three ways to protect the CCD camera, closing the camera cover satellite attitude maneuver and satellite orbit avoidance. In order to enhance the safety of optical remote sensing satellite in orbit, this paper explores the strategy of satellite avoidance. The avoidance strategy is expressed as the evasion of pre-determined target points in the orbital coordinates of virtual satellite. The so-called virtual satellite is a passive vehicle which superposes a satellite at the initial stage of avoidance. The target points share the consistent cycle time and the same semi-major axis with the virtual satellite, which ensures the properties of the Sun-synchronous orbit remain unchanged. Moreover, to further strengthen the avoidance capability of satellite, it can perform multi-object avoid maneuvers. On occasions of fulfilling the orbit tasks of the satellite, the orbit can be restored back to virtual satellite through orbit maneuvers. There into, the avoid maneuvers adopts pulse guidance. and the fuel consumption is also optimized. The avoidance strategy discussed in this article is applicable to avoidance for optical remote sensing satellite when encounter the laser hostile attacks. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=optical%20remote%20sensing%20satellite" title="optical remote sensing satellite">optical remote sensing satellite</a>, <a href="https://publications.waset.org/abstracts/search?q=always%20running%20on%20the%20sun-synchronous" title=" always running on the sun-synchronous"> always running on the sun-synchronous</a> </p> <a href="https://publications.waset.org/abstracts/31188/the-strategy-of-orbit-avoidance-for-optical-remote-sensing-satellite" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/31188.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">400</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">25388</span> Remote Sensing through Deep Neural Networks for Satellite Image Classification</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Teja%20Sai%20Puligadda">Teja Sai Puligadda</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Satellite images in detail can serve an important role in the geographic study. Quantitative and qualitative information provided by the satellite and remote sensing images minimizes the complexity of work and time. Data/images are captured at regular intervals by satellite remote sensing systems, and the amount of data collected is often enormous, and it expands rapidly as technology develops. Interpreting remote sensing images, geographic data mining, and researching distinct vegetation types such as agricultural and forests are all part of satellite image categorization. One of the biggest challenge data scientists faces while classifying satellite images is finding the best suitable classification algorithms based on the available that could able to classify images with utmost accuracy. In order to categorize satellite images, which is difficult due to the sheer volume of data, many academics are turning to deep learning machine algorithms. As, the CNN algorithm gives high accuracy in image recognition problems and automatically detects the important features without any human supervision and the ANN algorithm stores information on the entire network (Abhishek Gupta., 2020), these two deep learning algorithms have been used for satellite image classification. This project focuses on remote sensing through Deep Neural Networks i.e., ANN and CNN with Deep Sat (SAT-4) Airborne dataset for classifying images. Thus, in this project of classifying satellite images, the algorithms ANN and CNN are implemented, evaluated & compared and the performance is analyzed through evaluation metrics such as Accuracy and Loss. Additionally, the Neural Network algorithm which gives the lowest bias and lowest variance in solving multi-class satellite image classification is analyzed. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=artificial%20neural%20network" title="artificial neural network">artificial neural network</a>, <a href="https://publications.waset.org/abstracts/search?q=convolutional%20neural%20network" title=" convolutional neural network"> convolutional neural network</a>, <a href="https://publications.waset.org/abstracts/search?q=remote%20sensing" title=" remote sensing"> remote sensing</a>, <a href="https://publications.waset.org/abstracts/search?q=accuracy" title=" accuracy"> accuracy</a>, <a href="https://publications.waset.org/abstracts/search?q=loss" title=" loss"> loss</a> </p> <a href="https://publications.waset.org/abstracts/146723/remote-sensing-through-deep-neural-networks-for-satellite-image-classification" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/146723.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">159</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">25387</span> Generating Swarm Satellite Data Using Long Short-Term Memory and Generative Adversarial Networks for the Detection of Seismic Precursors</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yaxin%20Bi">Yaxin Bi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Accurate prediction and understanding of the evolution mechanisms of earthquakes remain challenging in the fields of geology, geophysics, and seismology. This study leverages Long Short-Term Memory (LSTM) networks and Generative Adversarial Networks (GANs), a generative model tailored to time-series data, for generating synthetic time series data based on Swarm satellite data, which will be used for detecting seismic anomalies. LSTMs demonstrated commendable predictive performance in generating synthetic data across multiple countries. In contrast, the GAN models struggled to generate synthetic data, often producing non-informative values, although they were able to capture the data distribution of the time series. These findings highlight both the promise and challenges associated with applying deep learning techniques to generate synthetic data, underscoring the potential of deep learning in generating synthetic electromagnetic satellite data. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=LSTM" title="LSTM">LSTM</a>, <a href="https://publications.waset.org/abstracts/search?q=GAN" title=" GAN"> GAN</a>, <a href="https://publications.waset.org/abstracts/search?q=earthquake" title=" earthquake"> earthquake</a>, <a href="https://publications.waset.org/abstracts/search?q=synthetic%20data" title=" synthetic data"> synthetic data</a>, <a href="https://publications.waset.org/abstracts/search?q=generative%20AI" title=" generative AI"> generative AI</a>, <a href="https://publications.waset.org/abstracts/search?q=seismic%20precursors" title=" seismic precursors"> seismic precursors</a> </p> <a href="https://publications.waset.org/abstracts/187478/generating-swarm-satellite-data-using-long-short-term-memory-and-generative-adversarial-networks-for-the-detection-of-seismic-precursors" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/187478.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">32</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">25386</span> Digital Twin Platform for BDS-3 Satellite Navigation Using Digital Twin Intelligent Visualization Technology</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rundong%20Li">Rundong Li</a>, <a href="https://publications.waset.org/abstracts/search?q=Peng%20Wu"> Peng Wu</a>, <a href="https://publications.waset.org/abstracts/search?q=Junfeng%20Zhang"> Junfeng Zhang</a>, <a href="https://publications.waset.org/abstracts/search?q=Zhipeng%20Ren"> Zhipeng Ren</a>, <a href="https://publications.waset.org/abstracts/search?q=Chen%20Yang"> Chen Yang</a>, <a href="https://publications.waset.org/abstracts/search?q=Jiahui%20Gan"> Jiahui Gan</a>, <a href="https://publications.waset.org/abstracts/search?q=Lu%20Feng"> Lu Feng</a>, <a href="https://publications.waset.org/abstracts/search?q=Haibo%20Tong"> Haibo Tong</a>, <a href="https://publications.waset.org/abstracts/search?q=Xuemei%20Xiao"> Xuemei Xiao</a>, <a href="https://publications.waset.org/abstracts/search?q=Yuying%20Chen"> Yuying Chen</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The research of Beidou-3 satellite navigation is on the rise, but in actual work, it is inevitable that satellite data is insecure, research and development is inefficient, and there is no ability to deal with failures in advance. Digital twin technology has obvious advantages in the simulation of life cycle models of aerospace satellite navigation products. In order to meet the increasing demand, this paper builds a Beidou-3 satellite navigation digital twin platform (BDSDTP). The basic establishment of BDSDTP was completed by establishing a digital twin double, Beidou-3 comprehensive digital twin design, predictive maintenance (PdM) mathematical model, and visual interaction design. Finally, this paper provides a time application case of the platform, which provides a reference for the application of BDSDTP in various fields of navigation and provides obvious help for extending the full cycle life of Beidou-3 satellite navigation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=BDS-3" title="BDS-3">BDS-3</a>, <a href="https://publications.waset.org/abstracts/search?q=digital%20twin" title=" digital twin"> digital twin</a>, <a href="https://publications.waset.org/abstracts/search?q=visualization" title=" visualization"> visualization</a>, <a href="https://publications.waset.org/abstracts/search?q=PdM" title=" PdM"> PdM</a> </p> <a href="https://publications.waset.org/abstracts/167908/digital-twin-platform-for-bds-3-satellite-navigation-using-digital-twin-intelligent-visualization-technology" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/167908.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">141</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">25385</span> Analysis of Spatial and Temporal Data Using Remote Sensing Technology</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kapil%20Pandey">Kapil Pandey</a>, <a href="https://publications.waset.org/abstracts/search?q=Vishnu%20Goyal"> Vishnu Goyal</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Spatial and temporal data analysis is very well known in the field of satellite image processing. When spatial data are correlated with time, series analysis it gives the significant results in change detection studies. In this paper the GIS and Remote sensing techniques has been used to find the change detection using time series satellite imagery of Uttarakhand state during the years of 1990-2010. Natural vegetation, urban area, forest cover etc. were chosen as main landuse classes to study. Landuse/ landcover classes within several years were prepared using satellite images. Maximum likelihood supervised classification technique was adopted in this work and finally landuse change index has been generated and graphical models were used to present the changes. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=GIS" title="GIS">GIS</a>, <a href="https://publications.waset.org/abstracts/search?q=landuse%2Flandcover" title=" landuse/landcover"> landuse/landcover</a>, <a href="https://publications.waset.org/abstracts/search?q=spatial%20and%20temporal%20data" title=" spatial and temporal data"> spatial and temporal data</a>, <a href="https://publications.waset.org/abstracts/search?q=remote%20sensing" title=" remote sensing"> remote sensing</a> </p> <a href="https://publications.waset.org/abstracts/40918/analysis-of-spatial-and-temporal-data-using-remote-sensing-technology" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/40918.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">433</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">25384</span> Tourism Satellite Account: Approach and Information System Development</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Pappas%20Theodoros">Pappas Theodoros</a>, <a href="https://publications.waset.org/abstracts/search?q=Mihail%20Diakomihalis"> Mihail Diakomihalis</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Measuring the economic impact of tourism in a benchmark economy is a global concern, with previous measurements being partial and not fully integrated. Tourism is a phenomenon that requires individual consumption of visitors and which should be observed and measured to reveal, thus, the overall contribution of tourism to an economy. The Tourism Satellite Account (TSA) is a critical tool for assessing the annual growth of tourism, providing reliable measurements. This article introduces a system of TSA information that encompasses all the works of the TSA, including input, storage, management, and analysis of data, as well as additional future functions and enhances the efficiency of tourism data management and TSA collection utility. The methodology and results presented offer insights into the development and implementation of TSA. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=tourism%20satellite%20account" title="tourism satellite account">tourism satellite account</a>, <a href="https://publications.waset.org/abstracts/search?q=information%20system" title=" information system"> information system</a>, <a href="https://publications.waset.org/abstracts/search?q=data-based%20tourist%20account" title=" data-based tourist account"> data-based tourist account</a>, <a href="https://publications.waset.org/abstracts/search?q=relation%20database" title=" relation database"> relation database</a> </p> <a href="https://publications.waset.org/abstracts/174616/tourism-satellite-account-approach-and-information-system-development" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/174616.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">84</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">25383</span> Artificial Intelligence and Governance in Relevance to Satellites in Space</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Anwesha%20Pathak">Anwesha Pathak</a> </p> <p class="card-text"><strong>Abstract:</strong></p> With the increasing number of satellites and space debris, space traffic management (STM) becomes crucial. AI can aid in STM by predicting and preventing potential collisions, optimizing satellite trajectories, and managing orbital slots. Governance frameworks need to address the integration of AI algorithms in STM to ensure safe and sustainable satellite activities. AI and governance play significant roles in the context of satellite activities in space. Artificial intelligence (AI) technologies, such as machine learning and computer vision, can be utilized to process vast amounts of data received from satellites. AI algorithms can analyse satellite imagery, detect patterns, and extract valuable information for applications like weather forecasting, urban planning, agriculture, disaster management, and environmental monitoring. AI can assist in automating and optimizing satellite operations. Autonomous decision-making systems can be developed using AI to handle routine tasks like orbit control, collision avoidance, and antenna pointing. These systems can improve efficiency, reduce human error, and enable real-time responsiveness in satellite operations. AI technologies can be leveraged to enhance the security of satellite systems. AI algorithms can analyze satellite telemetry data to detect anomalies, identify potential cyber threats, and mitigate vulnerabilities. Governance frameworks should encompass regulations and standards for securing satellite systems against cyberattacks and ensuring data privacy. AI can optimize resource allocation and utilization in satellite constellations. By analyzing user demands, traffic patterns, and satellite performance data, AI algorithms can dynamically adjust the deployment and routing of satellites to maximize coverage and minimize latency. Governance frameworks need to address fair and efficient resource allocation among satellite operators to avoid monopolistic practices. Satellite activities involve multiple countries and organizations. Governance frameworks should encourage international cooperation, information sharing, and standardization to address common challenges, ensure interoperability, and prevent conflicts. AI can facilitate cross-border collaborations by providing data analytics and decision support tools for shared satellite missions and data sharing initiatives. AI and governance are critical aspects of satellite activities in space. They enable efficient and secure operations, ensure responsible and ethical use of AI technologies, and promote international cooperation for the benefit of all stakeholders involved in the satellite industry. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=satellite" title="satellite">satellite</a>, <a href="https://publications.waset.org/abstracts/search?q=space%20debris" title=" space debris"> space debris</a>, <a href="https://publications.waset.org/abstracts/search?q=traffic" title=" traffic"> traffic</a>, <a href="https://publications.waset.org/abstracts/search?q=threats" title=" threats"> threats</a>, <a href="https://publications.waset.org/abstracts/search?q=cyber%20security." title=" cyber security."> cyber security.</a> </p> <a href="https://publications.waset.org/abstracts/167725/artificial-intelligence-and-governance-in-relevance-to-satellites-in-space" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/167725.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">76</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">25382</span> Selection of Appropriate Classification Technique for Lithological Mapping of Gali Jagir Area, Pakistan </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Khunsa%20Fatima">Khunsa Fatima</a>, <a href="https://publications.waset.org/abstracts/search?q=Umar%20K.%20Khattak"> Umar K. Khattak</a>, <a href="https://publications.waset.org/abstracts/search?q=Allah%20Bakhsh%20Kausar"> Allah Bakhsh Kausar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Satellite images interpretation and analysis assist geologists by providing valuable information about geology and minerals of an area to be surveyed. A test site in Fatejang of district Attock has been studied using Landsat ETM+ and ASTER satellite images for lithological mapping. Five different supervised image classification techniques namely maximum likelihood, parallelepiped, minimum distance to mean, mahalanobis distance and spectral angle mapper have been performed on both satellite data images to find out the suitable classification technique for lithological mapping in the study area. Results of these five image classification techniques were compared with the geological map produced by Geological Survey of Pakistan. The result of maximum likelihood classification technique applied on ASTER satellite image has the highest correlation of 0.66 with the geological map. Field observations and XRD spectra of field samples also verified the results. A lithological map was then prepared based on the maximum likelihood classification of ASTER satellite image. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ASTER" title="ASTER">ASTER</a>, <a href="https://publications.waset.org/abstracts/search?q=Landsat-ETM%2B" title=" Landsat-ETM+"> Landsat-ETM+</a>, <a href="https://publications.waset.org/abstracts/search?q=satellite" title=" satellite"> satellite</a>, <a href="https://publications.waset.org/abstracts/search?q=image%20classification" title=" image classification"> image classification</a> </p> <a href="https://publications.waset.org/abstracts/3823/selection-of-appropriate-classification-technique-for-lithological-mapping-of-gali-jagir-area-pakistan" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/3823.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">394</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">25381</span> A Simple Thermal Control Technique for the First Egyptian Pico Satellite</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Maged%20Assem%20Soliman%20Mossallam">Maged Assem Soliman Mossallam</a> </p> <p class="card-text"><strong>Abstract:</strong></p> One of the main prospectives on the demand of space exploration is to reduce the costs and efforts for satellite design. Concerning this issue satellite down scaling attracts space scientists and engineers. Picosatellite is the smallest category of satellites. The overall mass is less than 1 kg and dimensions are 10x10x3 cm3. Thermal control target is to keep the Pico-satellite board temperature within the permissible limits of temperature. Thermal design is completely passive which relies mainly on the enhancement of the thermo-optical properties of aluminum using anodization. Transient analysis is given for two different orbits, ISS orbit and 600 km altitude orbit. Results show that board temperature lies within 3 oC to 22 oC using black anodization which is a permissible limit for the satellite internal electronic board. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=satellite%20thermal%20control" title="satellite thermal control">satellite thermal control</a>, <a href="https://publications.waset.org/abstracts/search?q=small%20satellites" title=" small satellites"> small satellites</a>, <a href="https://publications.waset.org/abstracts/search?q=thermooptical%20properties" title=" thermooptical properties "> thermooptical properties </a>, <a href="https://publications.waset.org/abstracts/search?q=transient%20orbit%20analysis" title="transient orbit analysis">transient orbit analysis</a> </p> <a href="https://publications.waset.org/abstracts/151845/a-simple-thermal-control-technique-for-the-first-egyptian-pico-satellite" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/151845.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">116</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">25380</span> Classification of Land Cover Usage from Satellite Images Using Deep Learning Algorithms</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Shaik%20Ayesha%20Fathima">Shaik Ayesha Fathima</a>, <a href="https://publications.waset.org/abstracts/search?q=Shaik%20Noor%20Jahan"> Shaik Noor Jahan</a>, <a href="https://publications.waset.org/abstracts/search?q=Duvvada%20Rajeswara%20Rao"> Duvvada Rajeswara Rao</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Earth's environment and its evolution can be seen through satellite images in near real-time. Through satellite imagery, remote sensing data provide crucial information that can be used for a variety of applications, including image fusion, change detection, land cover classification, agriculture, mining, disaster mitigation, and monitoring climate change. The objective of this project is to propose a method for classifying satellite images according to multiple predefined land cover classes. The proposed approach involves collecting data in image format. The data is then pre-processed using data pre-processing techniques. The processed data is fed into the proposed algorithm and the obtained result is analyzed. Some of the algorithms used in satellite imagery classification are U-Net, Random Forest, Deep Labv3, CNN, ANN, Resnet etc. In this project, we are using the DeepLabv3 (Atrous convolution) algorithm for land cover classification. The dataset used is the deep globe land cover classification dataset. DeepLabv3 is a semantic segmentation system that uses atrous convolution to capture multi-scale context by adopting multiple atrous rates in cascade or in parallel to determine the scale of segments. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=area%20calculation" title="area calculation">area calculation</a>, <a href="https://publications.waset.org/abstracts/search?q=atrous%20convolution" title=" atrous convolution"> atrous convolution</a>, <a href="https://publications.waset.org/abstracts/search?q=deep%20globe%20land%20cover%20classification" title=" deep globe land cover classification"> deep globe land cover classification</a>, <a href="https://publications.waset.org/abstracts/search?q=deepLabv3" title=" deepLabv3"> deepLabv3</a>, <a href="https://publications.waset.org/abstracts/search?q=land%20cover%20classification" title=" land cover classification"> land cover classification</a>, <a href="https://publications.waset.org/abstracts/search?q=resnet%2050" title=" resnet 50"> resnet 50</a> </p> <a href="https://publications.waset.org/abstracts/147677/classification-of-land-cover-usage-from-satellite-images-using-deep-learning-algorithms" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/147677.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">139</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">25379</span> Mutual Information Based Image Registration of Satellite Images Using PSO-GA Hybrid Algorithm </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Dipti%20Patra">Dipti Patra</a>, <a href="https://publications.waset.org/abstracts/search?q=Guguloth%20Uma"> Guguloth Uma</a>, <a href="https://publications.waset.org/abstracts/search?q=Smita%20Pradhan"> Smita Pradhan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Registration is a fundamental task in image processing. It is used to transform different sets of data into one coordinate system, where data are acquired from different times, different viewing angles, and/or different sensors. The registration geometrically aligns two images (the reference and target images). Registration techniques are used in satellite images and it is important in order to be able to compare or integrate the data obtained from these different measurements. In this work, mutual information is considered as a similarity metric for registration of satellite images. The transformation is assumed to be a rigid transformation. An attempt has been made here to optimize the transformation function. The proposed image registration technique hybrid PSO-GA incorporates the notion of Particle Swarm Optimization and Genetic Algorithm and is used for finding the best optimum values of transformation parameters. The performance comparision obtained with the experiments on satellite images found that the proposed hybrid PSO-GA algorithm outperforms the other algorithms in terms of mutual information and registration accuracy. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=image%20registration" title="image registration">image registration</a>, <a href="https://publications.waset.org/abstracts/search?q=genetic%20algorithm" title=" genetic algorithm"> genetic algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=particle%20swarm%20optimization" title=" particle swarm optimization"> particle swarm optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=hybrid%20PSO-GA%20algorithm%20and%20mutual%20information" title=" hybrid PSO-GA algorithm and mutual information"> hybrid PSO-GA algorithm and mutual information</a> </p> <a href="https://publications.waset.org/abstracts/9683/mutual-information-based-image-registration-of-satellite-images-using-pso-ga-hybrid-algorithm" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/9683.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">407</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">25378</span> Development of Precise Ephemeris Generation Module for Thaichote Satellite Operations </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Manop%20Aorpimai">Manop Aorpimai</a>, <a href="https://publications.waset.org/abstracts/search?q=Ponthep%20Navakitkanok"> Ponthep Navakitkanok</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, the development of the ephemeris generation module used for the Thaichote satellite operations is presented. It is a vital part of the flight dynamics system, which comprises, the orbit determination, orbit propagation, event prediction and station-keeping maneuver modules. In the generation of the spacecraft ephemeris data, the estimated orbital state vector from the orbit determination module is used as an initial condition. The equations of motion are then integrated forward in time to predict the satellite states. The higher geopotential harmonics, as well as other disturbing forces, are taken into account to resemble the environment in low-earth orbit. Using a highly accurate numerical integrator based on the Burlish-Stoer algorithm the ephemeris data can be generated for long-term predictions, by using a relatively small computation burden and short calculation time. Some events occurring during the prediction course that are related to the mission operations, such as the satellite鈥檚 rise/set viewed from the ground station, Earth and Moon eclipses, the drift in ground track as well as the drift in the local solar time of the orbital plane are all detected and reported. When combined with other modules to form a flight dynamics system, this application is aimed to be applied for the Thaichote satellite and successive Thailand鈥檚 Earth-observation missions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=flight%20dynamics%20system" title="flight dynamics system">flight dynamics system</a>, <a href="https://publications.waset.org/abstracts/search?q=orbit%20propagation" title=" orbit propagation"> orbit propagation</a>, <a href="https://publications.waset.org/abstracts/search?q=satellite%20ephemeris" title=" satellite ephemeris"> satellite ephemeris</a>, <a href="https://publications.waset.org/abstracts/search?q=Thailand%E2%80%99s%20Earth%20Observation%20Satellite" title=" Thailand鈥檚 Earth Observation Satellite"> Thailand鈥檚 Earth Observation Satellite</a> </p> <a href="https://publications.waset.org/abstracts/3288/development-of-precise-ephemeris-generation-module-for-thaichote-satellite-operations" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/3288.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">377</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">25377</span> Estimation of Foliar Nitrogen in Selected Vegetation Communities of Uttrakhand Himalayas Using Hyperspectral Satellite Remote Sensing</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yogita%20Mishra">Yogita Mishra</a>, <a href="https://publications.waset.org/abstracts/search?q=Arijit%20Roy"> Arijit Roy</a>, <a href="https://publications.waset.org/abstracts/search?q=Dhruval%20Bhavsar"> Dhruval Bhavsar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The study estimates the nitrogen concentration in selected vegetation community鈥檚 i.e. chir pine (pinusroxburghii) by using hyperspectral satellite data and also identified the appropriate spectral bands and nitrogen indices. The Short Wave InfraRed reflectance spectrum at 1790 nm and 1680 nm shows the maximum possible absorption by nitrogen in selected species. Among the nitrogen indices, log normalized nitrogen index performed positively and negatively too. The strong positive correlation is taken out from 1510 nm and 760 nm for the pinusroxburghii for leaf nitrogen concentration and leaf nitrogen mass while using NDNI. The regression value of R虏 developed by using linear equation achieved maximum at 0.7525 for the analysis of satellite image data and R虏 is maximum at 0.547 for ground truth data for pinusroxburghii respectively. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=hyperspectral" title="hyperspectral">hyperspectral</a>, <a href="https://publications.waset.org/abstracts/search?q=NDNI" title=" NDNI"> NDNI</a>, <a href="https://publications.waset.org/abstracts/search?q=nitrogen%20concentration" title=" nitrogen concentration"> nitrogen concentration</a>, <a href="https://publications.waset.org/abstracts/search?q=regression%20value" title=" regression value"> regression value</a> </p> <a href="https://publications.waset.org/abstracts/74753/estimation-of-foliar-nitrogen-in-selected-vegetation-communities-of-uttrakhand-himalayas-using-hyperspectral-satellite-remote-sensing" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/74753.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">295</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">25376</span> Using Satellite Images Datasets for Road Intersection Detection in Route Planning</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Fatma%20El-Zahraa%20El-Taher">Fatma El-Zahraa El-Taher</a>, <a href="https://publications.waset.org/abstracts/search?q=Ayman%20Taha"> Ayman Taha</a>, <a href="https://publications.waset.org/abstracts/search?q=Jane%20Courtney"> Jane Courtney</a>, <a href="https://publications.waset.org/abstracts/search?q=Susan%20Mckeever"> Susan Mckeever</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Understanding road networks plays an important role in navigation applications such as self-driving vehicles and route planning for individual journeys. Intersections of roads are essential components of road networks. Understanding the features of an intersection, from a simple T-junction to larger multi-road junctions, is critical to decisions such as crossing roads or selecting the safest routes. The identification and profiling of intersections from satellite images is a challenging task. While deep learning approaches offer the state-of-the-art in image classification and detection, the availability of training datasets is a bottleneck in this approach. In this paper, a labelled satellite image dataset for the intersection recognition problem is presented. It consists of 14,692 satellite images of Washington DC, USA. To support other users of the dataset, an automated download and labelling script is provided for dataset replication. The challenges of construction and fine-grained feature labelling of a satellite image dataset is examined, including the issue of how to address features that are spread across multiple images. Finally, the accuracy of the detection of intersections in satellite images is evaluated. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=satellite%20images" title="satellite images">satellite images</a>, <a href="https://publications.waset.org/abstracts/search?q=remote%20sensing%20images" title=" remote sensing images"> remote sensing images</a>, <a href="https://publications.waset.org/abstracts/search?q=data%20acquisition" title=" data acquisition"> data acquisition</a>, <a href="https://publications.waset.org/abstracts/search?q=autonomous%20vehicles" title=" autonomous vehicles"> autonomous vehicles</a> </p> <a href="https://publications.waset.org/abstracts/145141/using-satellite-images-datasets-for-road-intersection-detection-in-route-planning" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/145141.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">144</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">25375</span> Water Body Detection and Estimation from Landsat Satellite Images Using Deep Learning</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=M.%20Devaki">M. Devaki</a>, <a href="https://publications.waset.org/abstracts/search?q=K.%20B.%20Jayanthi"> K. B. Jayanthi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The identification of water bodies from satellite images has recently received a great deal of attention. Different methods have been developed to distinguish water bodies from various satellite images that vary in terms of time and space. Urban water identification issues body manifests in numerous applications with a great deal of certainty. There has been a sharp rise in the usage of satellite images to map natural resources, including urban water bodies and forests, during the past several years. This is because water and forest resources depend on each other so heavily that ongoing monitoring of both is essential to their sustainable management. The relevant elements from satellite pictures have been chosen using a variety of techniques, including machine learning. Then, a convolution neural network (CNN) architecture is created that can identify a superpixel as either one of two classes, one that includes water or doesn't from input data in a complex metropolitan scene. The deep learning technique, CNN, has advanced tremendously in a variety of visual-related tasks. CNN can improve classification performance by reducing the spectral-spatial regularities of the input data and extracting deep features hierarchically from raw pictures. Calculate the water body using the satellite image's resolution. Experimental results demonstrate that the suggested method outperformed conventional approaches in terms of water extraction accuracy from remote-sensing images, with an average overall accuracy of 97%. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=water%20body" title="water body">water body</a>, <a href="https://publications.waset.org/abstracts/search?q=Deep%20learning" title=" Deep learning"> Deep learning</a>, <a href="https://publications.waset.org/abstracts/search?q=satellite%20images" title=" satellite images"> satellite images</a>, <a href="https://publications.waset.org/abstracts/search?q=convolution%20neural%20network" title=" convolution neural network"> convolution neural network</a> </p> <a href="https://publications.waset.org/abstracts/162827/water-body-detection-and-estimation-from-landsat-satellite-images-using-deep-learning" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/162827.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">89</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">25374</span> Development of Star Tracker for Satellite</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=S.%20Yelubayev">S. Yelubayev</a>, <a href="https://publications.waset.org/abstracts/search?q=V.%20Ten"> V. Ten</a>, <a href="https://publications.waset.org/abstracts/search?q=B.%20Albazarov"> B. Albazarov</a>, <a href="https://publications.waset.org/abstracts/search?q=E.%20Sarsenbayev"> E. Sarsenbayev</a>, <a href="https://publications.waset.org/abstracts/search?q=%D0%9A.%20%D0%90lipbayev"> 袣. 袗lipbayev</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Shamro"> A. Shamro</a>, <a href="https://publications.waset.org/abstracts/search?q=%D0%A2.%20Bopeyev"> 孝. Bopeyev</a>, <a href="https://publications.waset.org/abstracts/search?q=%D0%90.%20Sukhenko"> 袗. Sukhenko</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Currently in Kazakhstan much attention is paid to the development of space branch. Successful launch of two Earth remote sensing satellite is carried out, projects on development of components for satellite are being carried out. In particular, the project on development of star tracker experimental model is completed. In the future it is planned to use this experimental model for development of star tracker prototype. Main stages of star tracker experimental model development are considered in this article. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=development" title="development">development</a>, <a href="https://publications.waset.org/abstracts/search?q=prototype" title=" prototype"> prototype</a>, <a href="https://publications.waset.org/abstracts/search?q=satellite" title=" satellite"> satellite</a>, <a href="https://publications.waset.org/abstracts/search?q=star%20tracker" title=" star tracker"> star tracker</a> </p> <a href="https://publications.waset.org/abstracts/23521/development-of-star-tracker-for-satellite" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/23521.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">477</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">25373</span> Timing Equation for Capturing Satellite Thermal Images</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Toufic%20Abd%20El-Latif%20Sadek">Toufic Abd El-Latif Sadek</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The Asphalt object represents the asphalted areas, like roads. The best original data of thermal images occurred at a specific time during the days of the year, by preventing the gaps in times which give the close and same brightness from different objects, using seven sample objects, asphalt, concrete, metal, rock, dry soil, vegetation, and water. It has been found in this study a general timing equation for capturing satellite thermal images at different locations, depends on a fixed time the sunrise and sunset; Capture Time= Tcap =(TM*TSR) 卤TS. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=asphalt" title="asphalt">asphalt</a>, <a href="https://publications.waset.org/abstracts/search?q=satellite" title=" satellite"> satellite</a>, <a href="https://publications.waset.org/abstracts/search?q=thermal%20images" title=" thermal images"> thermal images</a>, <a href="https://publications.waset.org/abstracts/search?q=timing%20equation" title=" timing equation"> timing equation</a> </p> <a href="https://publications.waset.org/abstracts/51769/timing-equation-for-capturing-satellite-thermal-images" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/51769.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">349</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">25372</span> Cross-Comparison between Land Surface Temperature from Polar and Geostationary Satellite over Heterogenous Landscape: A Case Study in Hong Kong</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ibrahim%20A.%20Adeniran">Ibrahim A. Adeniran</a>, <a href="https://publications.waset.org/abstracts/search?q=Rui%20F.%20Zhu"> Rui F. Zhu</a>, <a href="https://publications.waset.org/abstracts/search?q=Man%20S.%20Wong"> Man S. Wong</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Owing to the insufficiency in the spatial representativeness and continuity of in situ temperature measurements from weather stations (WS), the use of temperature measurement from WS for large-range diurnal analysis in heterogenous landscapes has been limited. This has made the accurate estimation of land surface temperature (LST) from remotely sensed data more crucial. Moreover, the study of dynamic interaction between the atmosphere and the physical surface of the Earth could be enhanced at both annual and diurnal scales by using optimal LST data derived from satellite sensors. The tradeoff between the spatial and temporal resolution of LSTs from satellite鈥檚 thermal infrared sensors (TIRS) has, however, been a major challenge, especially when high spatiotemporal LST data are recommended. It is well-known from existing literature that polar satellites have the advantage of high spatial resolution, while geostationary satellites have a high temporal resolution. Hence, this study is aimed at designing a framework for the cross-comparison of LST data from polar and geostationary satellites in a heterogeneous landscape. This could help to understand the relationship between the LST estimates from the two satellites and, consequently, their integration in diurnal LST analysis. Landsat-8 satellite data will be used as the representative of the polar satellite due to the availability of its long-term series, while the Himawari-8 satellite will be used as the data source for the geostationary satellite because of its improved TIRS. For the study area, Hong Kong Special Administrative Region (HK SAR) will be selected; this is due to the heterogeneity in the landscape of the region. LST data will be retrieved from both satellites using the Split window algorithm (SWA), and the resulting data will be validated by comparing satellite-derived LST data with temperature data from automatic WS in HK SAR. The LST data from the satellite data will then be separated based on the land use classification in HK SAR using the Global Land Cover by National Mapping Organization version3 (GLCNMO 2013) data. The relationship between LST data from Landsat-8 and Himawari-8 will then be investigated based on the land-use class and over different seasons of the year in order to account for seasonal variation in their relationship. The resulting relationship will be spatially and statistically analyzed and graphically visualized for detailed interpretation. Findings from this study will reveal the relationship between the two satellite data based on the land use classification within the study area and the seasons of the year. While the information provided by this study will help in the optimal combination of LST data from Polar (Landsat-8) and geostationary (Himawari-8) satellites, it will also serve as a roadmap in the annual and diurnal urban heat (UHI) analysis in Hong Kong SAR. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=automatic%20weather%20station" title="automatic weather station">automatic weather station</a>, <a href="https://publications.waset.org/abstracts/search?q=Himawari-8" title=" Himawari-8"> Himawari-8</a>, <a href="https://publications.waset.org/abstracts/search?q=Landsat-8" title=" Landsat-8"> Landsat-8</a>, <a href="https://publications.waset.org/abstracts/search?q=land%20surface%20temperature" title=" land surface temperature"> land surface temperature</a>, <a href="https://publications.waset.org/abstracts/search?q=land%20use%20classification" title=" land use classification"> land use classification</a>, <a href="https://publications.waset.org/abstracts/search?q=split%20window%20algorithm" title=" split window algorithm"> split window algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=urban%20heat%20island" title=" urban heat island"> urban heat island</a> </p> <a href="https://publications.waset.org/abstracts/146680/cross-comparison-between-land-surface-temperature-from-polar-and-geostationary-satellite-over-heterogenous-landscape-a-case-study-in-hong-kong" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/146680.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">73</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">25371</span> Towards Update a Road Map Solution: Use of Information Obtained by the Extraction of Road Network and Its Nodes from a Satellite Image</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Z.%20Nougrara">Z. Nougrara</a>, <a href="https://publications.waset.org/abstracts/search?q=J.%20Meunier"> J. Meunier</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, we present a new approach for extracting roads, there road network and its nodes from satellite image representing regions in Algeria. Our approach is related to our previous research work. It is founded on the information theory and the mathematical morphology. We therefore have to define objects as sets of pixels and to study the shape of these objects and the relations that exist between them. The main interest of this study is to solve the problem of the automatic mapping from satellite images. This study is thus applied for that the geographical representation of the images is as near as possible to the reality. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=nodes" title="nodes">nodes</a>, <a href="https://publications.waset.org/abstracts/search?q=road%20network" title=" road network"> road network</a>, <a href="https://publications.waset.org/abstracts/search?q=satellite%20image" title=" satellite image"> satellite image</a>, <a href="https://publications.waset.org/abstracts/search?q=updating%20a%20road%20map" title=" updating a road map"> updating a road map</a> </p> <a href="https://publications.waset.org/abstracts/25331/towards-update-a-road-map-solution-use-of-information-obtained-by-the-extraction-of-road-network-and-its-nodes-from-a-satellite-image" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/25331.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">425</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">25370</span> Design and Simulation of an Inter-Satellite Optical Wireless Communication System Using Diversity Techniques</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sridhar%20Rapuru">Sridhar Rapuru</a>, <a href="https://publications.waset.org/abstracts/search?q=D.%20Mallikarjunreddy"> D. Mallikarjunreddy</a>, <a href="https://publications.waset.org/abstracts/search?q=Rajanarendra%20Sai"> Rajanarendra Sai</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this reign of the internet, the access of any multimedia file to the users at any time with a superior quality is needed. To achieve this goal, it is very important to have a good network without any interruptions between the satellites along with various earth stations. For that purpose, a high speed inter-satellite optical wireless communication system (IsOWC) is designed with space and polarization diversity techniques. IsOWC offers a high bandwidth, small size, less power requirement and affordable when compared with the present microwave satellite systems. To improve the efficiency and to reduce the propagation delay, inter-satellite link is established between the satellites. High accurate tracking systems are required to establish the reliable connection between the satellites as they have their own orbits. The only disadvantage of this IsOWC system is laser beam width is narrower than the RF because of this highly accurate tracking system to meet this requirement. The satellite uses the 'ephemerides data' for rough pointing and tracking system for fine pointing to the other satellite. In this proposed IsOWC system, laser light is used as a wireless connectedness between the source and destination and free space acts as the channel to carry the message. The proposed system will be designed, simulated and analyzed for 6000km with an improvement of data rate over previously existing systems. The performance parameters of the system are Q-factor, eye opening, bit error rate, etc., The proposed system for Inter-satellite Optical Wireless Communication System Design Using Diversity Techniques finds huge scope of applications in future generation communication purposes. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=inter-satellite%20optical%20wireless%20system" title="inter-satellite optical wireless system">inter-satellite optical wireless system</a>, <a href="https://publications.waset.org/abstracts/search?q=space%20and%20polarization%20diversity%20techniques" title=" space and polarization diversity techniques"> space and polarization diversity techniques</a>, <a href="https://publications.waset.org/abstracts/search?q=line%20of%20sight" title=" line of sight"> line of sight</a>, <a href="https://publications.waset.org/abstracts/search?q=bit%20error%20rate" title=" bit error rate"> bit error rate</a>, <a href="https://publications.waset.org/abstracts/search?q=Q-factor" title=" Q-factor"> Q-factor</a> </p> <a href="https://publications.waset.org/abstracts/74440/design-and-simulation-of-an-inter-satellite-optical-wireless-communication-system-using-diversity-techniques" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/74440.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">269</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">25369</span> Orbit Determination Modeling with Graphical Demonstration</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Assem%20M.%20F.%20Sallam">Assem M. F. Sallam</a>, <a href="https://publications.waset.org/abstracts/search?q=Ah.%20El-S.%20Makled"> Ah. El-S. Makled</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, there is an implementation, verification, and graphical demonstration of a software application, which can be used swiftly over different preliminary orbit determination methods. A passive orbit determination method is used in this study to determine the location of a satellite or a flying body. It is named a passive orbit determination because it depends on observation without the use of any aids (radio and laser) installed on satellite. In order to understand how these methods work and how their output is accurate when compared with available verification data, the built models help in knowing the different inputs used with each method. Output from the different orbit determination methods (Gibbs, Lambert, and Gauss) will be compared with each other and verified by the data obtained from Satellite Tool Kit (STK) application. A modified model including all of the orbit determination methods using the same input will be introduced to investigate different models output (orbital parameters) for the same input (azimuth, elevation, and time). Simulation software is implemented using MATLAB. A Graphical User Interface (GUI) application named OrDet is produced using the GUI of MATLAB. It includes all the available used inputs and it outputs the current Classical Orbital Elements (COE) of satellite under observation. Produced COE are then used to propagate for a complete revolution and plotted on a 3-D view. Modified model which uses an adapter to allow same input parameters, passes these parameters to the preliminary orbit determination methods under study. Result from all orbit determination methods yield exactly the same COE output, which shows the equality of concept in determination of satellite’s location, but with different numerical methods. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=orbit%20determination" title="orbit determination">orbit determination</a>, <a href="https://publications.waset.org/abstracts/search?q=STK" title=" STK"> STK</a>, <a href="https://publications.waset.org/abstracts/search?q=Matlab-GUI" title=" Matlab-GUI"> Matlab-GUI</a>, <a href="https://publications.waset.org/abstracts/search?q=satellite%20tracking" title=" satellite tracking"> satellite tracking</a> </p> <a href="https://publications.waset.org/abstracts/60076/orbit-determination-modeling-with-graphical-demonstration" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/60076.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">279</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">25368</span> Best Timing for Capturing Satellite Thermal Images, Asphalt, and Concrete Objects</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Toufic%20Abd%20El-Latif%20Sadek">Toufic Abd El-Latif Sadek</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The asphalt object represents the asphalted areas like roads, and the concrete object represents the concrete areas like concrete buildings. The efficient extraction of asphalt and concrete objects from one satellite thermal image occurred at a specific time, by preventing the gaps in times which give the close and same brightness values between asphalt and concrete, and among other objects. So that to achieve efficient extraction and then better analysis. Seven sample objects were used un this study, asphalt, concrete, metal, rock, dry soil, vegetation, and water. It has been found that, the best timing for capturing satellite thermal images to extract the two objects asphalt and concrete from one satellite thermal image, saving time and money, occurred at a specific time in different months. A table is deduced shows the optimal timing for capturing satellite thermal images to extract effectively these two objects. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=asphalt" title="asphalt">asphalt</a>, <a href="https://publications.waset.org/abstracts/search?q=concrete" title=" concrete"> concrete</a>, <a href="https://publications.waset.org/abstracts/search?q=satellite%20thermal%20images" title=" satellite thermal images"> satellite thermal images</a>, <a href="https://publications.waset.org/abstracts/search?q=timing" title=" timing"> timing</a> </p> <a href="https://publications.waset.org/abstracts/51827/best-timing-for-capturing-satellite-thermal-images-asphalt-and-concrete-objects" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/51827.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">322</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">25367</span> Next-Generation Laser-Based Transponder and 3D Switch for Free Space Optics in Nanosatellite</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nadir%20Atayev">Nadir Atayev</a>, <a href="https://publications.waset.org/abstracts/search?q=Mehman%20Hasanov"> Mehman Hasanov</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Future spacecraft will require a structural change in the way data is transmitted due to the increase in the volume of data required for space communication. Current radio frequency communication systems are already facing a bottleneck in the volume of data sent to the ground segment due to their technological and regulatory characteristics. To overcome these issues, free space optics communication plays an important role in the integrated terrestrial space network due to its advantages such as significantly improved data rate compared to traditional RF technology, low cost, improved security, and inter-satellite free space communication, as well as uses a laser beam, which is an optical signal carrier to establish satellite-ground & ground-to-satellite links. In this approach, there is a need for high-speed and energy-efficient systems as a base platform for sending high-volume video & audio data. Nano Satellite and its branch CubeSat platforms have more technical functionality than large satellites, wheres cover an important part of the space sector, with their Low-Earth-Orbit application area with low-cost design and technical functionality for building networks using different communication topologies. Along the research theme developed in this regard, the output parameter indicators for the FSO of the optical communication transceiver subsystem on the existing CubeSat platforms, and in the direction of improving the mentioned parameters of this communication methodology, 3D optical switch and laser beam controlled optical transponder with 2U CubeSat structural subsystems and application in the Low Earth Orbit satellite network topology, as well as its functional performance and structural parameters, has been studied accordingly. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cubesat" title="cubesat">cubesat</a>, <a href="https://publications.waset.org/abstracts/search?q=free%20space%20optics" title=" free space optics"> free space optics</a>, <a href="https://publications.waset.org/abstracts/search?q=nano%20satellite" title=" nano satellite"> nano satellite</a>, <a href="https://publications.waset.org/abstracts/search?q=optical%20laser%20communication." title=" optical laser communication."> optical laser communication.</a> </p> <a href="https://publications.waset.org/abstracts/165758/next-generation-laser-based-transponder-and-3d-switch-for-free-space-optics-in-nanosatellite" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/165758.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">88</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">25366</span> Preliminary Design Considerations for Achieving Stabilized Orbit, Telemetary, Command, and Ranging for HTS Communication Satellite</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ibrahim%20Isa%20Ali%20%28Pantami%29">Ibrahim Isa Ali (Pantami)</a>, <a href="https://publications.waset.org/abstracts/search?q=Abdu%20Jaafaru%20Bambale"> Abdu Jaafaru Bambale</a>, <a href="https://publications.waset.org/abstracts/search?q=Abimbola%20Alale"> Abimbola Alale</a>, <a href="https://publications.waset.org/abstracts/search?q=Danjuma%20Ibrahim%20%20Ndihgihdah"> Danjuma Ibrahim Ndihgihdah</a>, <a href="https://publications.waset.org/abstracts/search?q=Muhammad%20Alkali"> Muhammad Alkali</a>, <a href="https://publications.waset.org/abstracts/search?q=Adamu%20Idris%20Umar"> Adamu Idris Umar</a>, <a href="https://publications.waset.org/abstracts/search?q=Samson%20Olufunmilayo%20Abodunrin"> Samson Olufunmilayo Abodunrin</a>, <a href="https://publications.waset.org/abstracts/search?q=Muhammad%20Dokko%20Zubairu"> Muhammad Dokko Zubairu</a>, <a href="https://publications.waset.org/abstracts/search?q=Moshood%20Kareem"> Moshood Kareem</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper discusses the consideration and trade-offs used for the implementation of robust systems for orbit stability; Telemetry, Command and Ranging (TC& R) for Nigcomsat-1R and applicability for planned NigComSat-2 satellites. NigComSat-1R satellite was built by China Academy of Space Technology (CAST). The Satellite designed with quad-band payload (L, C, Ku, and Ka) was launched on the 20th of December 2011. The functionality of all satellite is driven by robust systems including Attitude & Orbit Control System (AOCS) and TC&R. The planned Nigcomsat-2 is a high throughput Satellite expected to function with better AOCS and TC&R. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=AOCS" title="AOCS">AOCS</a>, <a href="https://publications.waset.org/abstracts/search?q=CAST" title=" CAST"> CAST</a>, <a href="https://publications.waset.org/abstracts/search?q=Nigcomsat-1R" title=" Nigcomsat-1R"> Nigcomsat-1R</a>, <a href="https://publications.waset.org/abstracts/search?q=TC%26R" title=" TC&R"> TC&R</a> </p> <a href="https://publications.waset.org/abstracts/158991/preliminary-design-considerations-for-achieving-stabilized-orbit-telemetary-command-and-ranging-for-hts-communication-satellite" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/158991.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">116</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">25365</span> Performance Assessment of GSO Satellites before and after Enhancing the Pointing Effect</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Amr%20Emam">Amr Emam</a>, <a href="https://publications.waset.org/abstracts/search?q=Joseph%20Victor"> Joseph Victor</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohamed%20Abd%20Elghany"> Mohamed Abd Elghany</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The paper presents the effect of the orbit inclination on the pointing error of the satellite antenna and consequently on its footprint on earth for a typical Ku- band payload system. The performance assessment is examined both theoretically and by means of practical measurements, taking also into account all additional sources of pointing errors, such as East-West station keeping, orbit eccentricity and actual attitude control performance. An implementation and computation of the sinusoidal biases in satellite roll and pitch used to compensate the pointing error of the satellite antenna coverage is studied and evaluated before and after the pointing corrections performed. A method for evaluation of the performance of the implemented biases has been introduced through measuring satellite received level from a tracking 11m and fixed 4.8m transmitting antenna before and after the implementation of the pointing corrections. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=satellite" title="satellite">satellite</a>, <a href="https://publications.waset.org/abstracts/search?q=inclined%20orbit" title=" inclined orbit"> inclined orbit</a>, <a href="https://publications.waset.org/abstracts/search?q=pointing%20errors" title=" pointing errors"> pointing errors</a>, <a href="https://publications.waset.org/abstracts/search?q=coverage%20optimization" title=" coverage optimization"> coverage optimization</a> </p> <a href="https://publications.waset.org/abstracts/39830/performance-assessment-of-gso-satellites-before-and-after-enhancing-the-pointing-effect" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/39830.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">402</span> </span> </div> </div> <ul class="pagination"> <li class="page-item disabled"><span class="page-link">&lsaquo;</span></li> <li class="page-item active"><span class="page-link">1</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=satellite%20data&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=satellite%20data&page=3">3</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=satellite%20data&page=4">4</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=satellite%20data&page=5">5</a></li> <li class="page-item"><a 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