Volume 11 Issue 6
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XING Mengdao, XIE Yiyuan, GAO Yuexin, et al. Electromagnetic scattering characteristic extraction and imaging recognition algorithm: a review[J]. Journal of Radars, 2022, 11(6): 921–942. doi: 10.12000/JR22232
Citation: XING Mengdao, XIE Yiyuan, GAO Yuexin, et al. Electromagnetic scattering characteristic extraction and imaging recognition algorithm: a review[J]. Journal of Radars, 2022, 11(6): 921–942. doi: 10.12000/JR22232
shu

Electromagnetic Scattering Characteristic Extraction and Imaging Recognition Algorithm: A Review

DOI: 10.12000/JR22232
  • 1.

    National Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, China

  • 2.

    Academy of Advanced Interdisciplinary Research, Xidian University, Xi’an 710071, China

  • 3.

    School of Aerospace Science And Technology, Xidian University, Xi’an 710071, China

Funds:  The National Natural Science Foundation of China for Distinguished Young Scholars (61825105)
More Information
  • Corresponding author: XING Mengdao, xmd@xidian.edu.cn
  • Received Date: 2022-11-30
  • Rev Recd Date: 2022-12-22
    • Available Online: 2022-12-26
  • Publish Date: 2022-12-27
    Abstract
  • One remarkable trend in applying synthetic aperture radar technology is the automatic interpretation of Synthetic Aperture Radar (SAR) images. The electromagnetic scattering characteristics have a robust correlation with the target structure, which provides key support for SAR image interpretation. Therefore, elucidating how to extract accurate electromagnetic characteristics and how to use these electromagnetic characteristics to retrieve target characteristics has been widely valued recently. This study discusses the research accomplishments, summarizes the key elements and ideas of electromagnetic characteristic extraction and electromagnetic-characteristic-based target recognition, and details the extension applications of the electromagnetic scattering mechanism in imaging and recognition. Finally, the future research direction of electromagnetic scattering characteristic extraction and application was proposed.

     

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