Volume 9 Issue 1
Feb.  2020
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Article Navigation >  Journal of Radars  > 2020  >  9(1): 34-54
DU Lan, WANG Zhaocheng, WANG Yan, et al. Survey of research progress on target detection and discrimination of single-channel SAR images for complex scenes[J]. Journal of Radars, 2020, 9(1): 34–54. doi: 10.12000/JR19104
Citation: DU Lan, WANG Zhaocheng, WANG Yan, et al. Survey of research progress on target detection and discrimination of single-channel SAR images for complex scenes[J]. Journal of Radars, 2020, 9(1): 34–54. doi: 10.12000/JR19104
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Survey of Research Progress on Target Detection and Discrimination of Single-channel SAR Images for Complex Scenes

DOI: 10.12000/JR19104
  • 1.

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

  • 2.

    School of Electronics and Information Engineering, Hebei University of Technology, Tianjin 300401, China

Funds:  The National Science Foundation of China (61771362)
More Information
  • Corresponding author: DU Lan, dulan@mail.xidian.edu.cn
  • Received Date: 2019-12-01
  • Rev Recd Date: 2020-02-21
    • Available Online: 2020-03-11
  • Publish Date: 2020-02-28
    Abstract
  • As an active microwave imaging sensor, Synthetic Aperture Radar (SAR) has become one of the main means of Earth observation owing to its unique technical advantages of all-day, all-weather operation and long working distance. As such, it plays a very important role in military and civilian fields. With the development of SAR remote-sensing technology, high-resolution, high-quality SAR images are produced continuously. However, manual detection and recognition of targets of interest is time-consuming and laborious, so the development of Automatic Target Recognition (ATR) technology is a matter of urgency. The typical SAR ATR system primarily comprises three stages: detection, discrimination, and classification/recognition. The detection and discrimination stages are the basis of the SAR ATR system, and research on SAR applications in the radar field has been conducted by researchers around the world. For single-channel SAR images, target detection and discrimination from simple scenes yield good results. However, in complex scenes, the clutter scattering intensity is relatively high, the clutter background is heterogenous, the target scattering intensity is relatively weak, and the target distribution is dense. These factors continue to make accurate SAR target detection and discrimination difficult. In this paper, we summarize the recent research progress on single-channel SAR target detection and discrimination methods for complex scenes, analyze the characteristics and problems associated with various methods, and consider the future development trend of single-channel SAR target detection and discrimination methods for complex scenes.

     

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