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Geometric Calibration for the Linear Array Camera Based on Star Observation

Authors :
Zhichao Guan
Yonghua Jiang
Guo Zhang
Xing Zhong
Source :
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 368-384 (2025)
Publication Year :
2025
Publisher :
IEEE, 2025.

Abstract

This article presents an innovative geometric calibration mode for a linear array camera used in the Jilin-1 satellite. Changing the camera from observing the ground to observing space and treating stars as control points allow for the accurate determination of the geometric parameters of the camera. In this article, several important calibration procedures and strategies are presented to gradually eliminate the influence of astronomical and attitude errors. Self-verification of the calibration image results in a star-based calibration accuracy is better than 0.3 pixels. Further verification of the star image that leads to an interior orientation accuracy is better than 0.6 pixels. The accuracy of geometric positioning without control is verified by ground images of different regions to be 30 m. The interior orientation accuracy of ground images processed by star-based calibration parameters is better than 1.5 m. The ground image corrected using the star-based calibration parameters is well overlaid on the reference image. The accuracies obtained with star-based and ground-based calibrations are comparable. However, ground calibration fields require high maintenance costs and may suffer from harsh imaging conditions. Contrarily, star-based calibration is not affected by the weather and climate conditions on the ground, which can be photographed from any location along the satellite orbit. Therefore, star-based calibration can meet the requirements for high-frequency geometric calibration of subsequent satellite constellations construction.

Details

Language :
English
ISSN :
19391404 and 21511535
Volume :
18
Database :
Directory of Open Access Journals
Journal :
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Publication Type :
Academic Journal
Accession number :
edsdoj.b9469aac206145d8841f16eb0598e475
Document Type :
article
Full Text :
https://doi.org/10.1109/JSTARS.2024.3496483