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：2006
卷号：XXXVI Part 7
出版社：Copernicus Publications
摘要：In this paper, the potential of multitemporal ERS-1/2 InSAR data for detecting urban land-cover changes is investigated on a test area within Shanghai city, China. A new unsupervised change-detection approach is proposed, which is characterized by the combined use of two temporal variations of backscattering intensity and long-term coherence from multitemporal ERS-1/2 SAR images. The proposed approach is made up of two steps: feature extraction and unsupervised 2-D (two dimensional) thresholding. In the first step, two features are based on the concepts of backscattering intensity variation and long-term coherence variation respectively, and have been defined according to the analysis of different signal behavior of interferometric SAR in the presence of land-cover classes in urban area. In the second step, an unsupervised 2-D thresholding technique based on maximum 2-D Renyi's entropy criterion is proposed, which is performed on the two difference images derived from the two change features to produce an accurate change-detection map with two classes "change" and "no-change". Experimental results obtained from a set of six multitemporal ERS-1/2 SAR images confirm the effective of the proposed approach, and that ERS-1/2 InSAR data could be exploited for detecting urban land-cover changes
