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Research on HRRP target recognition based on feature combination and SVM

HAN Ping,SUN Yaping   

  1. (Intelligent Signal and Image Processing Key Lab of Tianjin,CAUC,Tianjin 300300,China)
  • Received:2015-03-04 Revised:2015-04-07 Online:2016-02-20 Published:2016-04-13

Abstract:

HRRP(high range resolution profile)target recognition method based on feature combination and SVM classifier is presented. Firstly,the incoherent average HRRP feature in frequency domain and central moments feature are extracted respectively. Then,they are serially combined into new features. Finally,SVM is used to perform classification. Experimental results with MSTAR (moving and stationary target acquisition and recognition)SAR HRRP data sets show that the proposed algorithm can improve correct recognition rate without target azimuth,and is an effective method for HRRP target recognition.

Key words: HRRP, feature combination, SVM, target recognition

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