Volume 6 Issue 2
May  2017
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Article Navigation >  Journal of Radars  > 2017  >  6(2): 157-166
Ding Baiyuan, Wen Gongjian, Yu Liansheng, Ma Conghui. Matching of Attributed Scattering Center and Its Application to Synthetic Aperture Radar Automatic Target Recognition[J]. Journal of Radars, 2017, 6(2): 157-166. doi: 10.12000/JR16104
Citation: Ding Baiyuan, Wen Gongjian, Yu Liansheng, Ma Conghui. Matching of Attributed Scattering Center and Its Application to Synthetic Aperture Radar Automatic Target Recognition[J]. Journal of Radars, 2017, 6(2): 157-166. doi: 10.12000/JR16104
shu

Matching of Attributed Scattering Center and Its Application to Synthetic Aperture Radar Automatic Target Recognition

DOI: 10.12000/JR16104 CSTR: 32380.14.JR16104
  • ①.

    ATR Key Laboratory National University of Defense Technology, Changsha 410073, China

  • ②.

    TH Center of China, Beijing 102102, China

Funds:

The Program for New Century Excellent Talents in University NCET-11-0866

  • Received Date: 2016-09-15
  • Rev Recd Date: 2016-11-25
    • Available Online: 2016-12-22
  • Publish Date: 2017-04-28
    Abstract
  • Attributed scattering center is one of important features of Synthetic Aperture Radar (SAR) image. In this paper, a method for the matching of attributed scattering centers and its application to SAR target recognition is proposed. First, the attributed scattering centers of the test SAR image and template SAR images are extracted on the basis of the attributed scattering model. Second, the Hungarian algorithm is employed to match the two scattering center sets. Based on the one to one correspondence, we design a new similarity measure to evaluate the similarity between the two scattering center sets that will decide the target type of the test image. The similarity measure considers the effects of each individual scattering center, single matching pair, and missing alarms and false alarms; thus, it is more comprehensive. The experiment based on moving and stationary target acquisition and recognition database demonstrates the validity of the proposed method.

     

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