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《Electronics Optics & Control》 2009-02
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Airplane Recognition Based on SVM and Passive Features

SHI Haojie,XING Qinghua,SHEN Jicheng(Missile Institute,Air Force Engineering University,Sanyuan 713800,China)  
An effective method is put forward for airplane recognition by introducing in the passive feature of airborne radar radiation and using the multi-class Supports Vector Machine(SVM)for type identification.Passive feature is a mixture of signal and noise,which is uncertain.Norm entropy is used to measure the passive features,which has strong aggregation inside one type.It can also restrain noise.SVM has good characteristics of simple structure,global optimum and strong generalization ability,and Multi-SVM is effective and practical in airplane recognition.Experiment results showed that the method can improve the accuracy of airplane recognition.
【CateGory Index】: V271.4
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