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| Citation: | REN Zishuai, ZHANG Zhao, GAO Yuxin, et al. Three-dimensional imaging of tomographic SAR based on adaptive elevation constraint[J]. Journal of Radars, 2023, 12(5): 1056–1068. doi: 10.12000/JR23111
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Three-dimensional Imaging of Tomographic SAR Based on Adaptive Elevation Constraint
doi: 10.12000/JR23111
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Abstract
Synthetic Aperture Radar Tomography (TomoSAR) has emerged as a hot research topic in the field of SAR imaging, particularly for three-dimensional (3D) urban imaging in recent years. However, in TomoSAR 3D reconstruction, due to the phase unwrapping difficulty, periodic spectral peaks appear in the reconstruction results of the reflectivity profile along the elevation. This results in errors in estimating the elevation locations of the scatterers and causing layering effects in 3D imaging results, which is the elevation ambiguity. In light of this phenomenon observed in TomoSAR, a method for the adaptive adjustment of the elevation search range is proposed to improve the accuracy of the elevation estimation and reduce elevation ambiguity. In this method, the height of the scene is first estimated, the linear function of the elevation sampling center is subsequently constructed based on the height pre-estimations, and the search radius is finally calculated. Thereafter, the elevation search range of each pixel in the SAR image is determined and updated, preserving the true spectral peaks while isolating the ambiguity peaks. The experimental results for airborne and spaceborne measured data demonstrate that the proposed method significantly improves elevation ambiguity and artifacts-related issues while also improving the spatial concentration and continuity of 3D point clouds. -
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References
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- Figure 1. TomoSAR 3D geometric model
- Figure 2. Pseudo target in the elevation
- Figure 3. Reconstruction results of elevation reflectivity profile of the first simulation data
- Figure 4. Reconstruction results of elevation reflectivity profile of the second simulation data
- Figure 5. The flowchart of adaptive elevation search range method (blue: The boundary before constraints; red: Boundaries after constraints; yellow: Elevation sampling center)
- Figure 6. Google Earth optical map and SAR amplitude map of Emei area
- Figure 7. 3D reconstruction results of Emei data
- Figure 8. Inversion results of scattering profile from Emei data
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Figure 9.
$\Delta {h_{\text{E}}}$ - Figure 10. Google Earth optical map and SAR amplitude map of Barcelona area
- Figure 11. 3D reconstruction results of Barcelona data
- Figure 12. Sparse inversion on elevation by CS of the selected pixel