Volume 9 Issue 3
Jun.  2020
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Article Navigation >  Journal of Radars  > 2020  >  9(3): 477-496
LENG Xiangguang, JI Kefeng, XIONG Boli, et al. Statistical modeling methods of single-channel complex-valued SAR images for ship detection[J]. Journal of Radars, 2020, 9(3): 477–496. doi: 10.12000/JR20070
Citation: LENG Xiangguang, JI Kefeng, XIONG Boli, et al. Statistical modeling methods of single-channel complex-valued SAR images for ship detection [J]. Journal of Radars, 2020, 9(3): 477–496. doi: 10.12000/JR20070
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Statistical Modeling Methods of Single-channel Complex-valued SAR Images for Ship Detection

doi: 10.12000/JR20070

  • State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China

Funds:  The National Natural Science Foundation of China (61601035, 61971426)
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  • Corresponding author: LENG Xiangguang, luckight@163.com; JI Kefeng, jikefeng@nudt.edu.cn
  • Received Date: 2020-05-28
  • Rev Recd Date: 2020-06-19
    • Available Online: 2020-06-30
  • Publish Date: 2020-06-01
    Abstract
  • Synthetic Aperture Radar (SAR), which features rich imaging modes, wide coverage, and high resolution, is an effective technique for long-term, dynamic, and large-scale monitoring of the ocean. Under the assumption of fully developed speckle, traditional ship detection methods in single-channel SAR images focus mainly on amplitude information. Since conventional assumptions are not strictly true in high-resolution situations, this prevents the full investigation of phase or complex-valued information in single-channel SAR images. In this paper, with a focus on ship detection applications, we categories the methods used in the statistical modeling of single-channel complex-valued SAR images as amplitude-, phase-, or complex-valued-based. After providing a brief overview of amplitude statistical modeling methods, we focus on phase and complex-valued statistical modeling methods of single-channel SAR images, describing their modeling processes and parameter estimation methods. We then present the results of our recent ship detection research based on complex-valued statistical information in single-channel SAR images and make suggestions regarding future research.

     

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