期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2010
卷号：XXXVIII Part 4
出版社：Copernicus Publications
摘要：This study has utilized a spatial region growing segmentation and a classification using fuzzy membership vectors to detect thechanges in the images observed at different dates. Consider two co-registered images of the same scene, and one image is supposedto have the class map of the scene at the observation time. The method performs the unsupervised segmentation and the fuzzyclassification for the other image, and then detects the changes in the scene by examining the changes in the fuzzy membershipvectors of the segmented regions in the classification procedure. The algorithm has evaluated with simulated images and has thenapplied to a real scene of the Korean Peninsula using the KOMPSAT-1 EOC images. In the experiments, the proposed method hasshown a great performance for detecting changes in land-cover
