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Volume 46 Issue 5
May  2024
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LI Mingdian, XIAO Shunping, CHEN Siwei. A Review of Progress in Super-Resolution Reconstruction of Polarimetric Radar Image Target[J]. Journal of Electronics & Information Technology, 2024, 46(5): 1806-1826. doi: 10.11999/JEIT231249
Citation: LI Mingdian, XIAO Shunping, CHEN Siwei. A Review of Progress in Super-Resolution Reconstruction of Polarimetric Radar Image Target[J]. Journal of Electronics & Information Technology, 2024, 46(5): 1806-1826. doi: 10.11999/JEIT231249

A Review of Progress in Super-Resolution Reconstruction of Polarimetric Radar Image Target

doi: 10.11999/JEIT231249
Funds:  The National Natural Science Foundation of China (62122091, 61771480), The Natural Science Foundation of Hunan Province (2020JJ2034)
  • Received Date: 2023-11-13
  • Rev Recd Date: 2024-03-23
  • Available Online: 2024-04-18
  • Publish Date: 2024-05-30
  • Radar possesses the capability for all-day, all-weather observation and can generate radar target images through image processing. It serves as an indispensable piece of remote sensing equipment in various civil and military applications, including earth observation, and surveillance. High-resolution radar images can provide a detailed outline and fine structure of the target, which is conducive to subsequent applications such as target classification and recognition. For the acquired radar images, how to use theoretical methods such as signal and information processing to further improve the resolution and break through the Rayleigh limit has important scientific research and practical application value. On the other hand, polarization, a crucial attribute of electromagnetic waves, plays a significant role in the acquisition and analysis of target characteristics, and can provide rich information for super-resolution reconstruction. Accordingly, this work initially elucidates the concept of polarimetric radar image super-resolution reconstruction, summarizes the performance evaluation metrics, and primarily focuses on the methods of polarimetric radar image super-resolution reconstruction and their applications. Lastly, the limitations of existing methods are summarized and potential future trends in technology are forecasted.
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