Volume 13 Issue 2
Apr.  2024
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WANG Yingfu, YIN Jiapeng, LU Zhonghao, et al. Analysis of the influence of distributed interrupted-sampling repeating signals on airborne interferometer parameter measurements[J]. Journal of Radars, 2024, 13(5): 1037–1048. doi: 10.12000/JR24090
Citation: XU Feng and JIN Yaqiu. Microwave vision and intelligent perception of radar imagery[J]. Journal of Radars, 2024, 13(2): 285–306. doi: 10.12000/JR23225
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Microwave Vision and Intelligent Perception of Radar Imagery

DOI: 10.12000/JR23225 CSTR: 32380.14.JR23225

  • Key Lab for Information Science of Electromagnetic Waves (MoE), Fudan University, Shanghai 200433, China

Funds:  The National Natural Science Foundation of China (61991422)
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  • Corresponding author: XU Feng, fengxu@fudan.edu.cn
  • Received Date: 2023-11-21
  • Rev Recd Date: 2024-01-07
    • Available Online: 2024-01-12
  • Publish Date: 2024-01-30
    Abstract
  • With the rapid development of high-resolution radar imaging technology, artificial intelligence, and big data technology, remarkable advancements have been made in the intelligent interpretation of radar imagery. Despite growing demands, radar image intrpretation is now facing various technical challenges mainly because of the particularity of the radar sensor itself and the complexity of electromagnetic scattering physical phenomena. To address the problem of microwave radar imagery perception, this article proposes the development of the cross-disciplinary microwave vision research, which further integrates electromagnetic physics and radar imaging mechanism with human brain visual perception principles and computer vision technologies. This article discusses the concept and implication of microwave vision, proposes a microwave vision perception model, and explains its basic scientific problems and technical roadmaps. Finally, it introduces the preliminary research progress on related issues achieved by the authors’ group.

     

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      沈阳化工大学材料科学与工程学院 沈阳 110142

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