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The aim is to develop an automated method for detecting and quantifying geolocation offsets in SAR imagery.

Automated Monitoring of Geolocation Consistency in Micro-satellite SAR Imagery

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The aim is to develop an automated method for detecting and quantifying geolocation offsets in SAR imagery.
Utilized feature-based matching and correlation-based refinement for geolocation alignment
Validated method against absolute geolocation measurements from corner reflector calibration sites
Evaluated across 726 acquisitions in various operational modes including Spotlight and Stripmap
Achieved overall root-mean-square error (RMSE) of 1.39 m, with 1.18 m for Spotlight mode and 1.93 m for Stripmap mode
Demonstrated strong agreement with reference measurements
Successfully applied for large-scale acquisition campaigns and coherent image stack analysis

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Automated approach detects geolocation errors in micro-satellite SAR imagery, indicating a scalable solution for quality control.

Johnsy et al. (2026) studied this question.

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