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This is a Observational study (also classified as: In Vitro Study).

Robust ground control point localization from multi-aspect stereo SAR observations using Chinese commercial satellite SVN-2

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Localization accuracy is improved through a new stereo SAR framework that integrates geometric calibration and error suppression.
The method demonstrates effectiveness in handling gross errors, achieving reliable positioning results across different scenarios.
Simulation and real-data experiments validate the robustness of the positioning model, particularly in a practical setting.
This work lays a foundation for future applications and automatic extraction of GCPs from stereo SAR imagery.

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This framework enhances localization accuracy using stereo SAR data, indicating robustness against observation errors.

Mu et al. (2025) studied this question.

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