Journal of Xidian University

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Super-resolution imaging method for the SAR target in a strong clutter scene

JING Guobin;SHENG Jialian;CHEN Jianlai;SUN Guangcai;XING Mengdao;BAO Zheng   

  1. (National Key Lab. of Radar Signal Processing, Xidian Univ., Xi'an  710071, China)
  • Received:2015-06-12 Online:2016-10-20 Published:2016-12-02
  • Contact: JING Guobin E-mail:Guobinjing01@163.com

Abstract:

This paper proposes a super-resolution imaging method to solve the problem of extracting targets and enhancing resolution under a strong clutter in the SAR image. Based on singal correlation, an adaptive clutter threshold is proposed to extract strong scatterers of targets. Then weak scatterers of targets are extracted by the gradient descent method. Finally, target resolution is enhanced to realize super-resolution imaging by the simplified regularization method. Real-measured data of reflectors and the stationary vehicle validate the effectiveness of the proposed method.

Key words: strong clutter, SAR, targets extraction, resolution enhancement, super-resolution imaging