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  • 标题:A TWO-THRESHOLDS EM-MRF ALGORITHM FOR CHANGE DETECTION OF MULTI-TEMPORAL ERS-2 SAR IMAGES
  • 本地全文:下载
  • 作者:Y. Jin
  • 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:2005
  • 卷号:XXXVI-8/W27
  • 出版社:Copernicus Publications
  • 摘要:To automatically detect and analyze the surface change in the urban area from multi-temporal SAR images, an algorithm of two- thresholds EM (Expectation Maximum) and MRF (Markov Random Field) is developed. Difference of the SAR images demonstrates variation of backscattering caused by the surface change over all image pixels. Two thresholds are obtained by the EM iterative process and are applied to three classes: enhanced scattering, reduced scattering and no changed regimes. Initializing from the EM result, the ICM (Iterated Conditional Modes) algorithm of the MRF is then applied to analysis of the contexture change detection in the urban area. As an example, two images of the ERS-2 SAR in 1996 and 2002 years over the Shanghai City are studied
  • 关键词:Multi-temporal SAR; Two thresholds EM; MRF; Change detection
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