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《Opto-Electronic Engineering》 2013-06
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A Target Recognition Method in SAR Images Based on Dynamic Dictionary Learning

WANG Baoyun 1 ,ZHANGYiwei 1 ,ZHANG Rong 1 ,GU Jin 2 ,WANG Minkun 3 (1.Department of Electronic Engineering and Information Science,University of Science and Technology of China,Hefei 230027,China;2.Shanghai-Hamburg College,University of Shanghai for Science and Technology,Shanghai 200093,China;3.Department of Electrical and Computer Engineering,Virginia Polytechnic Institute and State University,Virginia,USA)  
A dynamic dictionary learning method was proposed for automatic target recognition in Synthetic Aperture Radar (SAR) images.The new method decreased the size of a dictionary by erasing the useless or high-correlation atoms in the dictionary under a deleting cost.It added an atom by decomposing the residue data matrix under an adding cost.The performance of signal representation of a dictionary could be improved in the dynamic learning procedure.Experiments based on MSTAR database show that the proposed method can converge to a proper-size dictionary no matter how large the original size is.The proposed method was demonstrated to have good and robust performance of SAR target recognition in the trials.
【Fund】: 国家973重点基础研究发展计划基金(2010CB731904);; 国家自然科学基金(61172154)资助
【CateGory Index】: TN957.52
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【Citations】
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