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| Citation: | QIU Xiaolan, LUO Yitong, SONG Shujie, et al. Microwave vision three-dimensional SAR experimental system and full-polarimetric data processing method[J]. Journal of Radars, 2024, 13(5): 941–954. doi: 10.12000/JR24137
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Microwave Vision Three-dimensional SAR Experimental System and Full-polarimetric Data Processing Method
DOI: 10.12000/JR24137 CSTR: 32380.14.JR24137
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Abstract
Three-Dimensional (3D) Synthetic Aperture Radar (SAR) holds great potential for applications in fields such as mapping and disaster management, making it an important research focus in SAR technology. To advance the application and development of 3D SAR, especially by reducing the number of observations or antenna array elements, the Aerospace Information Research Institute, Chinese Academy of Sciences, (AIRCAS) has pioneered the development of the full-polarimetric Microwave Vision 3D SAR (MV3DSAR) experimental system. This system is designed to serve as an experimental platform and a source of data for microwave vision SAR 3D imaging studies. This study introduces the MV3DSAR experimental system along with its full-polarimetric SAR data set. It also proposes a set of full-polarimetric data processing scheme that covers essential steps such as polarization correction, polarization coherent enhancement, microwave vision 3D imaging, and 3D fusion visualization. The results from the 3D imaging data set confirm the full-polarimetric capabilities of the MV3DSAR experimental system and validate the effectiveness of the proposed processing method. The full-polarimetric unmanned aerial vehicle -borne array interferometric SAR data set, released through this study, offers enhanced data resources for advancing 3D SAR imaging research. -
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References
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- Figure 1. A photo of MV3DSAR system
- Figure 2. Full-polarimetric MV3DSAR system block diagram
- Figure 3. Optical image and target distribution map (area A—E are corner reflector, geometric scatterer, forest, underpass entrance, vehicle, tower crane)
- Figure 4. MV3DSAR flight track design
- Figure 5. Baseline design of MV3DSAR
- Figure 6. Cross-correlation properties of observation matrix and spatial ambiguity function curve
- Figure 7. Maximum unblurred height and Rayleigh resolution
- Figure 8. Lidar point cloud data
- Figure 9. Optical oblique photography data
- Figure 10. The overall flow of full-polarimetric MV3DSAR data processing
- Figure 11. Flow chart of polarization coherent enhancement based on energy maximum polarization projection
- Figure 12. Flow chart of 3D imaging based on polarization similarity constraint
- Figure 13. Flow chart of SAR 3D visual product production
- Figure 14. Flow chart of scatterer-unmixed image production
- Figure 15. The street tree area in the scene is manually selected as the polarization calibration object
- Figure 16. Pauli pseudo-color image of the scene before and after polarization correction
- Figure 17. Evaluation of polarization distortion of a corner reflector
- Figure 18. Statistical diagram of the coherence coefficients of the single polarization HH and the proposed PEM method (the lower corner marks in the legend represent different channel combinations)
- Figure 19. Energy statistical diagram of channel R1—R4 (the lower corner mark in the legend represents the channel number)
- Figure 20. Overall comparison of SAR 3D point clouds
- Figure 21. Detailed SAR 3D point clouds comparison of Area 1
- Figure 22. A set of 2D scatterer-unmixed images under a flight track
- Figure 23. A 3D fusion visualization product under a flight track