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《Remote Sensing Technology and Application》 2005-06
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Surface Feature Detection Using Multi-temporal SAR Interferometric Data

LIAO Jing juan,GUO Hua dong,SHAO Yun(State Key Laboratory of Remote Sensing Science,Institute of Remote Sensing Applications,Chinese Academy of Sciences,Beijing 100101,China)  
In recent years,Synthetic Aperture Radar(SAR) interferometric technique with its all weather,day and night capabilities,can generate the digital elevation model(DEM) and monitor surface change using amplitude and phase information from radar signal.So it has become a potential tool to acquire more resource and environmental information.The repeat pass interferometry acquires two images by using one antenna for repeat passes over the same area at two different times.The two images can be used for further information extraction only while they have somewhat coherence.In this paper,the interferometric coherence was estimated and the amplitude intensity was extracted using the repeat pass interferometric data,acquired by European Remote Sensing Satellite 1 and 2.Then discrimination and classification of surface land types in Zhangjiakou test site,Hebei Province were carried out. Seven types of land were discriminated and classified,including in two different types of meadows,woodland,dry land,glassland,steppe and water body.The backscatter and coherence characteristics of these land types on the multi temporal images were analyzed,and the change of surface features with time series was also discussed.
【Fund】: 中国科学院知识创新工程重要方向项目(KZCX3-SW-338-3);; 国家863计划项目(2003AA135080)资助
【CateGory Index】: TP79
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