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《Remote Sensing Technology and Application》 2007-02
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Multi-temporal SAR Images Classification Using Case-based Reasoning for Application of Land Use and Land Cover Change

CHEN Fu-long1,2,3,WANG Chao1,3,ZHANG Hong3(1.State Key Laboratory of Remote Sensing Science,Jointly Sponsored by the Institute of Remote SensingApplications of Chinese Academy of Sciences and Beijing Normal University,Beijing 100101,China;2.Graduate University of the Chinese Academy of Sciences,Beijing 100101;3.China RemoteSensing Satellite Ground Station,Chinese Academy of Sciences,Beijing 100086,China)  
In this paper,we investigate a case-based reasoning(CBR) method for the classification of multi-temporal SAR images with the aid of ancillary information.Our scheme for the problem of multi-temporal SAR images classification comprises four main steps,including SAR image processing,construction of case library,case-based classification and post-classification processing.During the construction of case library,we employ a spatial-temporal analysis technique to remove fake cases,which can guarantee cases with high credibility.In the implementation of case-based classification,we propose a stratified similarity assessment and use it for the case-based matching.After that,we investigate an object-oriented post-classification method which takes the shape of land use region into account,as a result,it leads to a more meaningful classification,and the regenerate land use image or map can be easier compared and combined with usual GIS data.A series of multi-temporal SAR images for 2000 and 2004 are used for our experiments,the results show the classification accuracy can achieve up to 85%~90%.
【Fund】: 国家自然科学基金项目(40501044);; 国家自然科学基金项目(40601058)
【CateGory Index】: TP751
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【References】
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