Principle of small target detection for hyperspectral imagery

查看全文 作　　者：GENG XiuRui1,2,3 & ZHAO YongChao2,3,4 1 Research Center for Remote Sensing and GIS, Department of Geography, Beijing Normal University, Beijing 100875, China;2 State Key Laboratory of Remote Sensing Science, Chinese Academy of Sciences, Beijing 100101, China;3 Institute of Erectronics, Chinese Academy of Sciences, Beijing 100080, China;4 Center for for Assessment and Monitoring of Forest and Environmental Resources and Division of Ecosystem Sciences University of California Berkeley, CA 94720-3114, USA

出　　处：《Science China Earth Sciences》索引2007年第50卷第8期,共7页

基　　金：the National Natural Science Foundation of China (Grant Nos. 40501041,40202031);the Key Innovation Project of Chinese Academy of Sci-ences (Grant No. KZCX3-SW-338-1) 摘　　要：This paper generalizes the progress of algorithms in small target detection for hyperspectral imaging, and finds that whitening the image is the key point of many methods in small target detection. An al-gorithm is presented to detect desired targets by converting large targets into small ones based on the weighted sample autocorrelation matrix. 关键词：HYPERSPECTRAL WHITEN TARGET DETECTION

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Principle of small target detection for hyperspectral imagery

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