Abstract
Abstract. Stereo positioning is a important content for Spaceborne SAR imagery mapping, which is still lack of investigation depend on exterior orientation elements. In this paper, we firstly introduced the Range-Coplanarity (R-Cp) geometric imaging equation and its character for radar imagery, compared the difference and relationship between R-Cp and R-D model, and build stereo positioning rigorous model for spaceborne SAR imagery based on the R-Cp equation, satellite orbit, and pose refinement model. Then separate taking TerraSAR-X images in mountainous terrain observed from same and opposite side-looking direction as test data, we presented the initial attitude value acquirement method for TerraSAR-X image after moving compensation, analyzed stereo positioning precision according to amounts and spatial distributions of GCPs and lengths of baseline between SAR antennas, and also compared the precision with R-D model. the proposed stereo positioning model avoids SAR signal imaging parameters during the geometric processing, with one GCP it could improved the plan and height precision from (17.9m,29.2m) to (10.3m,6.1m) in the test of opposite side-looking direction images, and even had a better accuracy than R-D model when more GCPs were used, which indicate that R-Cp model have a potential application in spaceborne SAR image stereo positioning.
Highlights
The rigorous geometric imaging model of side-looking radar image mainly includes the range doppler equation and sensor exterior orientation elements
As the Range-Coplanarity equation use the elements of exterior orientation as a directional parameters, the research of spaceborne SAR stereo positioning of sparse control point based on the R-Cp equation is significative
In 2005, China launched the 1:50,000 mapping project in western difficult region where without the topographic map ever before, for example the Hengduan Mountains, Yunnan and Guizhou Plateau are covered by snow or fog all the year round, optical remote sensing images are difficult to separately complete the mapping tasks, coupled with ruggedness terrain in these areas, field surveying of ground control points is very difficult, so mapping with high-resolution SAR images for these specific regions is an important part for the project, the spaceborne SAR images stereo mapping under the conditions of sparse control point is a key technology for this project
Summary
The rigorous geometric imaging model of side-looking radar image mainly includes the range doppler equation and sensor exterior orientation elements. In 2005, China launched the 1:50,000 mapping project in western difficult region where without the topographic map ever before, for example the Hengduan Mountains, Yunnan and Guizhou Plateau are covered by snow or fog all the year round, optical remote sensing images are difficult to separately complete the mapping tasks, coupled with ruggedness terrain in these areas, field surveying of ground control points is very difficult, so mapping with high-resolution SAR images for these specific regions is an important part for the project, the spaceborne SAR images stereo mapping under the conditions of sparse control point is a key technology for this project In this case, the paper based R-Cp equation research the TerraSAR-X images stereo positioning models, techniques and methods
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