A Comparative Study on Automatic Feature Classification Methods of Remote Sensing Images

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publication-listing mt-3 mb-3"> <h5 class="card-header" style="font-size:.9rem">A Comparative Study on Automatic Feature Classification Methods of Remote Sensing Images </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Lee%20Jeong%20Min">Lee Jeong Min</a>, <a href="https://publications.waset.org/abstracts/search?q=Lee%20Mi%20Hee"> Lee Mi Hee</a>, <a href="https://publications.waset.org/abstracts/search?q=Eo%20Yang%20Dam"> Eo Yang Dam</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Geospatial feature extraction is a very important issue in the remote sensing research. In the meantime, the image classification based on statistical techniques, but, in recent years, data mining and machine learning techniques for automated image processing technology is being applied to remote sensing it has focused on improved results generated possibility. In this study, artificial neural network and decision tree technique is applied to classify the high-resolution satellite images, as compared to the MLC processing result is a statistical technique and an analysis of the pros and cons between each of the techniques. <iframe src="https://publications.waset.org/abstracts/48370.pdf" style="width:100%; height:400px;" frameborder="0"></iframe> <p class="card-text"><strong>Keywords:</strong> <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=artificial%20neural%20network" title=" artificial neural network"> artificial neural network</a>, <a href="https://publications.waset.org/abstracts/search?q=decision%20tree" title=" decision tree"> decision tree</a>, <a href="https://publications.waset.org/abstracts/search?q=maximum%20likelihood%20classification" title=" maximum likelihood classification"> maximum likelihood classification</a> </p> <a href="https://publications.waset.org/abstracts/48370/a-comparative-study-on-automatic-feature-classification-methods-of-remote-sensing-images" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/48370.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">347</span> </span> </div> </div> </div> </main> <footer> <div id="infolinks" class="pt-3 pb-2"> <div class="container"> <div style="background-color:#f5f5f5;" class="p-3"> <div class="row"> <div class="col-md-2"> <ul class="list-unstyled"> About <li><a href="https://waset.org/page/support">About Us</a></li> <li><a href="https://waset.org/page/support#legal-information">Legal</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/WASET-16th-foundational-anniversary.pdf">WASET celebrates its 16th foundational 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A Comparative Study on Automatic Feature Classification Methods of Remote Sensing Images