Volume 11 Issue 1
Feb.  2022
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Article Navigation >  Journal of Radars  > 2022  >  11(1): 83-94
LI Zhiyuan, GUO Jiayi, ZHANG Yueting, et al. A novel autofocus algorithm of ship target in SAR image based on the adaptive momentum estimation optimizer and space-variant minimum entropy criteria[J]. Journal of Radars, 2022, 11(1): 83–94. doi: 10.12000/JR21159
Citation: LI Zhiyuan, GUO Jiayi, ZHANG Yueting, et al. A novel autofocus algorithm of ship target in SAR image based on the adaptive momentum estimation optimizer and space-variant minimum entropy criteria[J]. Journal of Radars, 2022, 11(1): 83–94. doi: 10.12000/JR21159
shu

A Novel Autofocus Algorithm for Ship Targets in SAR Images Based on the Adaptive Momentum Estimation Optimizer and Space-variant Minimum Entropy Criteria

doi: 10.12000/JR21159
  • 1.

    Aerospace Information Research Institute, Chinese Academy of Science, Beijing 100190, China

  • 2.

    Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Chinese Acodemy of Sciences, Beijing 100190, China

  • 3.

    School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China

Funds:  The National Natural Science Foundation of China (61991421)
More Information
  • Corresponding author: GUO Jiayi, jyguo@mail.ie.ac.cn
  • Received Date: 2021-10-28
  • Accepted Date: 2022-01-05
  • Rev Recd Date: 2022-01-05
    • Available Online: 2022-01-11
  • Publish Date: 2022-01-21
    Abstract
  • In SAR defocused ship images, the defocusing phenomenon of some ship targets is space-variant along the distance. In this context, a novel autofocus algorithm combining the adaptive momentum estimation optimizer and space-variant minimum entropy criteria is proposed to address these defocused ship targets. The algorithm can directly process complex images and compensate for any order phase errors. The effectiveness of the proposed method is proved by the experimental results on the simulation data and GF-3 data. Moreover, the entropy and contrast of the refocused image have been improved, and the focusing speed of the algorithm has been greatly enhanced.

     

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