Volume 6 Issue 2
May  2017
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Article Navigation >  Journal of Radars  > 2017  >  6(2): 115-135
Wen Gongjian, Zhu Guoqiang, Yin Hongcheng, Xing Mengdao, Yang Hu, Ma Conghui, Yan Hua, Ding Baiyuan, Zhong Jinrong. SAR ATR Based on 3D Parametric Electromagnetic Scattering Model[J]. Journal of Radars, 2017, 6(2): 115-135. doi: 10.12000/JR17034
Citation: Wen Gongjian, Zhu Guoqiang, Yin Hongcheng, Xing Mengdao, Yang Hu, Ma Conghui, Yan Hua, Ding Baiyuan, Zhong Jinrong. SAR ATR Based on 3D Parametric Electromagnetic Scattering Model[J]. Journal of Radars, 2017, 6(2): 115-135. doi: 10.12000/JR17034
shu

SAR ATR Based on 3D Parametric Electromagnetic Scattering Model

DOI: 10.12000/JR17034
  • ①.

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

  • ②.

    Wuhan University, Wuhan 310071, China

  • ③.

    Key Laboratory on Electromagnetic Scattering, Beijing 100854, China

  • ④.

    Xidian University, Xi’an 710071, China

  • ⑤.

    PLA 95596, Xi’an 710300, China

Funds:  The National Minstries Foundation
  • Received Date: 2017-03-30
  • Rev Recd Date: 2017-04-18
    • Available Online: 2017-05-04
  • Publish Date: 2017-04-28
    Abstract
  • Automatic Target Recognition (ATR) is one of the most difficult problems in Synthetic Aperture Radar (SAR) data interpretation. In recent years, the model-based SAR target recognition method has attracted much attention because of its good performance in the extended operation condition. Based on the research of a few domestic research institutes, this paper briefly introduces the preliminary research results and gives some thoughts about SAR ATR problem. First of all, the development of parametric scattering model are discussed from three aspects. Next, two ways to model the parametric electromagnetic scattering for complex target are put forward. Finally, we propose a new framework for a Three-Dimensional (3D) parametric scattering model based SAR ATR. In the end, the future research direction of model-based SAR target recognition is prospected.

     

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