国家自然科学基金(2012-2014)

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Target detection and recognition in SAR imagery based on KFDA
《Journal of Systems Engineering and Electronics》2015年第4期720-731,共12页Fei Gao Jingyuan Mei Jinping Sun Jun Wang Erfu Yang Amir Hussain 
supported by the National Natural Science Foundation of China(61071139;61471019;61171122);the Aeronautical Science Foundation of China(20142051022);the Foundation of ATR Key Lab(C80264);the National Natural Science Foundation of China(NNSFC)under the RSE-NNSFC Joint Project(2012-2014)(61211130210)with Beihang University;the RSE-NNSFC Joint Project(2012-2014)(61211130309)with Anhui University;the"Sino-UK Higher Education Research Partnership for Ph D Studies"Joint Project(2013-2015)
Current research on target detection and recognition from synthetic aperture radar （SAR） images is usually carried out separately. It is difficult to verify the ability of a target recognition algorithm for adapting...
关键词：synthetic aperture radar （SAR） target detection ker-nel fisher discriminant analysis （KFDA） target recognition imageEuclidean distance （IMED） support vector machine （SVM）. 
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