Volume 10 Issue 1
Feb.  2021
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LIU Tao, YANG Ziyuan, JIANG Yanni, et al. Review of ship detection in polarimetric synthetic aperture imagery[J].Journal of Radars, 2021, 10(1): 1–19. doi: 10.12000/JR20155
Citation: LIU Tao, YANG Ziyuan, JIANG Yanni, et al. Review of ship detection in polarimetric synthetic aperture imagery[J].Journal of Radars, 2021, 10(1): 1–19. doi: 10.12000/JR20155
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Review of Ship Detection in Polarimetric Synthetic Aperture Imagery （in English）

doi: 10.12000/JR20155
  • 1.

    School of Electronic Engineering, Naval University of Engineering, Wuhan 430033, China

  • 2.

    Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China

Funds:  The National Natural Science Foundation of China (61771483)
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    Abstract
  • Polarimetric Synthetic Aperture Radar (PolSAR) uses two-dimensional pulse compression to obtain high-resolution images containing polarimetric information. PolSAR has been widely used in military reconnaissance, topographic mapping, environmental and natural disaster monitoring, marine ship detection, and related fields. Addressing the problems associated with sea-clutter modelling and parameter estimation, slow and small target detection, dense target detection, as well as other issues, still remains a challenge in PolSAR ship detection. In this paper, four main classes for PolSAR ship detection are summarized: target polarimetric feature detection, slow and small target detection, ship wake detection, and deep learning detection. In addition, the possible solutions to existing problems in each class are given, and their future development trends are predicted, which can provide some valuable suggestions for interested researchers.

     

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