Building detection from orthophotos using a machine learning approach: An empirical study on image segmentation and descriptors
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- 作者：Fadi Dornaika ; a ; b ; fadi.dornaika@ehu.es" class="auth_mail" title="E-mail the corresponding author ; fdornaika@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Abdelmalik Moujahida ; jibmomoa@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Youssef El Merabetc ; elmerabet113@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Yassine Ruichekd ; yassine.ruichek@utbm.fr" class="auth_mail" title="E-mail the corresponding author
- 关键词：Automatic building detection and delineation ; Orthophotos ; Image segmentation ; Image descriptors ; Supervised learning ; Classifier
- 刊名：Expert Systems with Applications
- 出版年：2016
- 出版时间：1 October 2016
- 年：2016
- 卷：58
- 期：Complete
- 页码：130-142
- 全文大小：6394 K
文摘
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Automatic building detection in orthophotos via a machine learning approach.
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Flexible framework that exploits supervised learning.
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Applying the covariance descriptor to the building detection problem.
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An extended performance study of several combination segmentation-descriptor.
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Classification performance is obtained with K-NN, Partial Least Square and SVM.