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Ground moving target detection in squint SAR imagery based on Extended Azimuth NLCS and Deramp processing

  • Zhichao Sun
  • , Junjie Wu
  • , Yulin Huang
  • , Zhongyu Li
  • , Haiguang Yang
  • , Jianyu Yang
  • University of Electronic Science and Technology of China

科研成果: 书/报告/会议事项章节会议稿件同行评审

3 引用 (Scopus)

摘要

Ground moving target detection (GMTD) for squint synthetic aperture radar (SAR) is a more challenging task than that of the broadside SAR. The severe range and azimuth coupling induced by the squint mode combined with the unknown motion parameters makes the problem of indicating the moving targets more involved. In this paper, a novel ground moving target detection method for squint SAR is proposed. Firstly, an extended Keystone Transform (KT) is performed to remove the range cell migrations (RCMs) of both the stationary and moving targets. Secondly, the range compressed data undergoes two extended azimuth nonlinear chirp scaling (EANLCS) process separately with different sets of parameters based on the stationary scene. Then, after azimuth de-ramp processing, two images are obtained where all the targets are well focused except for the moving targets. Finally, by subtracting the amplitudes of the two images, the stationary targets are eliminated and the moving targets are detected. This algorithm is suitable for large squint angle cases and is computationally efficient. Simulation results verify the effectiveness of the algorithm.

源语言英语
主期刊名International Geoscience and Remote Sensing Symposium (IGARSS)
出版商Institute of Electrical and Electronics Engineers Inc.
600-603
页数4
ISBN(电子版)9781479957750
DOI
出版状态已出版 - 4 11月 2014
已对外发布
活动Joint 2014 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 and the 35th Canadian Symposium on Remote Sensing, CSRS 2014 - Quebec City, 加拿大
期限: 13 7月 201418 7月 2014

出版系列

姓名International Geoscience and Remote Sensing Symposium (IGARSS)

会议

会议Joint 2014 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 and the 35th Canadian Symposium on Remote Sensing, CSRS 2014
国家/地区加拿大
Quebec City
时期13/07/1418/07/14

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