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| Citation: | YU Yang, JIN Guowang, XIONG Xin, et al. SAR elevation control point extraction combining multistrategy ATLAS data preference and image matching[J]. Journal of Radars, 2023, 12(1): 64–75. doi: 10.12000/JR22134
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SAR Elevation Control Point Extraction Combining Multistrategy ATLAS Data Preference and Image Matching
DOI: 10.12000/JR22134
More Information-
Abstract
To refine the geometric parameters of satellite-based SAR images and improve the stereo positioning accuracy, a method of SAR elevation control point extraction combining multistrategy ATLAS data preference and image matching has been developed. This method is based on the concept of optical remote sensing image elevation control point extraction from satellite-based laser altimetry data. The method employs various strategies, such as non-night observation photon filtering, high confidence photon selection, SRTM DEM-assisted coarse difference rejection, and large eccentricity elliptical filtering kernel flat area photon screening. To extract laser elevation points with high quality and flat area from ATLAS data for ATL03 level products. Then the geocoding of the slant range SAR images is performed using the SRTM DEM. The local Google Earth images are selected as the footprint images according to the plane coordinates of the laser elevation points. The rank self-similarity descriptor is used to match the footprint images with the SAR geocoded images. The coordinates of the SAR images corresponding to the laser elevation points are obtained. Thus, SAR elevation control points are extracted. The extraction of GF-3 SAR elevation control points was performed using ATLAS data from two regions: Dengfeng, China, and Yokosuka, Japan. The geometric parameter refinement of SAR images using extracted elevation control points significantly improved the accuracy of stereo positioning and verified that the method for extracting elevation control points described in this paper is feasible and effective. -
References
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- Figure 1. Process of SAR elevation control point extraction combining multistrategy ATLAS data preference and image matching
- Figure 2. Process of multistrategy ATLAS data preference
- Figure 3. Schematic diagram of height difference caused by difference between object and image
- Figure 4. Schematic diagram of ellipse filter kernel extraction
- Figure 5. Schematic diagram of laser points extraction result in flat area
- Figure 6. Schematic diagram of matching between GE image and SAR geocoding image
- Figure 7. Matching window diagram
- Figure 8. Schematic diagram of matching points and neighborhood points
- Figure 9. Geographical location and topographic map of each area
- Figure 10. Elevation difference histogram
- Figure 11. Schematic diagram of matching results
- Figure 12. Schematic diagram of laser elevation point distribution
- Figure 13. Schematic diagram of some checkpoints in the area 1
- Figure 14. Schematic diagram of the distribution of checkpoints
- Figure 15. Checkpoint error condition