›› 2012, Vol. ›› Issue (03): 743-748.

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SAR variant target automatic recognition algorithm based on local texture characteristic

YIN Kui-ying1,2, JIN Lin1, LIU Hong-wei2, WANG Ying-hua2   

  1. 1. Nanjing Research Institute of Electronics Technology Nanjing 210013, China;
    2. National Lab of Radar Signal Processing, Xidian University, Xi'an 710071, China
  • Received:2011-08-23 Online:2012-05-01

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Abstract: A Synthetic Aperture Radar (SAR) Automatic Target Recognition (ATR) algorithm for recognizing target variants is developed. This algorithm uses the local texture similarity between the variant and the original target for recognition. First, a SAR image registration algorithm based on clear edges is proposed. Then, the texture characteristic, which is obtained by combining the Gabor transform, LBP and spatial domain histogram, is employed to describe the SAR image. Finally, histogram sequence matching based on the large characteristic is used to perform recognition. The effectiveness of the proposed algorithm is verified by experimental results on MSTAR S2.

Key words: information processing, synthetic aperture radar(SAR), SAR automatic target recognition, local texture characteristic, SAR target variant

CLC Number: 

  • TN911.73
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