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《Geomatics and Information Science of Wuhan University》 2014-07
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Compressive Sensing Based CFAR Target Detection Algorithm for SAR Image

HE Chu;ZHANG Yu;LIAO Ziqian;XU Xin;School of Electronic Information,Wuhan University;  
In this paper,we propose a compressive sensing based CFAR target detection algorithm for remote sensing SAR image.Considered of the traditional mean value and statistic CFAR detection algorithm,firstly,the background clutter pixels of every local sliding window is rebuild by using CS,so that the speckle of the SAR image is decreased.Then,the distribution parameters of the clutter are estimate from the rebuild image.At last,a CFAR detector is used to obtain the detection result.The experiments on real images show that the proposed algorithm is effective.
【Fund】: 国家973计划资助项目(2013CB33404);; 国家自然科学基金资助项目(41371342 61331016);; 湖北省自然科学基金资助项目~~
【CateGory Index】: TN957.52
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