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Search results for: Soo-Ho Kim
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Soo-Ho Kim</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1</span> Post-Processing Method for Performance Improvement of Aerial Image Parcel Segmentation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Donghee%20Noh">Donghee Noh</a>, <a href="https://publications.waset.org/abstracts/search?q=Seonhyeong%20Kim"> Seonhyeong Kim</a>, <a href="https://publications.waset.org/abstracts/search?q=Junhwan%20Choi"> Junhwan Choi</a>, <a href="https://publications.waset.org/abstracts/search?q=Heegon%20Kim"> Heegon Kim</a>, <a href="https://publications.waset.org/abstracts/search?q=Sooho%20Jung"> Sooho Jung</a>, <a href="https://publications.waset.org/abstracts/search?q=Keunho%20Park"> Keunho Park</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, we describe an image post-processing method to enhance the performance of the parcel segmentation method using deep learning-based aerial images conducted in previous studies. The study results were evaluated using a confusion matrix, IoU, Precision, Recall, and F1-Score. In the case of the confusion matrix, it was observed that the false positive value, which is the result of misclassification, was greatly reduced as a result of image post-processing. The average IoU was 0.9688 in the image post-processing, which is higher than the deep learning result of 0.8362, and the F1-Score was also 0.9822 in the image post-processing, which was higher than the deep learning result of 0.8850. As a result of the experiment, it was found that the proposed technique positively complements the deep learning results in segmenting the parcel of interest. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=aerial%20image" title="aerial image">aerial image</a>, <a href="https://publications.waset.org/abstracts/search?q=image%20process" title=" image process"> image process</a>, <a href="https://publications.waset.org/abstracts/search?q=machine%20vision" title=" machine vision"> machine vision</a>, <a href="https://publications.waset.org/abstracts/search?q=open%20field%20smart%20farm" title=" open field smart farm"> open field smart farm</a>, <a href="https://publications.waset.org/abstracts/search?q=segmentation" title=" segmentation"> segmentation</a> </p> <a href="https://publications.waset.org/abstracts/170203/post-processing-method-for-performance-improvement-of-aerial-image-parcel-segmentation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/170203.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">81</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 anniversary</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Account <li><a href="https://waset.org/profile">My Account</a></li> </ul> </div> <div class="col-md-2"> <ul 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