1 February 2011 Autonomous on-orbit calibration of a star tracker camera
Hai-bo Liu, Ji-chun Tan, Hui Jia, Xiu-jian Li, Jiong-qi Wang, Jian-kun Yang
Author Affiliations +
Abstract
We have developed a calibration approach for a star tracker camera. A modified version of the least-squares iteration algorithm combining Kalman filter is put forward, which allows for autonomous on-orbit calibration of the star tracker camera even with nonlinear camera distortions. In the calibration approach, the optimal principal point and focal length are achieved at first via the modified algorithm, and then the high-order focal-plane distortions are estimated using the solution of the first step. To validate this proposed calibration approach, the real star catalog and synthetic attitude data are adopted to test its performance. The test results have demonstrated the proposed approach performs well in terms of accuracy, robustness, and performance. It can satisfy the autonomous on-orbit calibration of the star tracker camera.
©(2011) Society of Photo-Optical Instrumentation Engineers (SPIE)
Hai-bo Liu, Ji-chun Tan, Hui Jia, Xiu-jian Li, Jiong-qi Wang, and Jian-kun Yang "Autonomous on-orbit calibration of a star tracker camera," Optical Engineering 50(2), 023604 (1 February 2011). https://doi.org/10.1117/1.3542039
Published: 1 February 2011
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CITATIONS
Cited by 32 scholarly publications and 3 patents.
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KEYWORDS
Stars

Calibration

Cameras

Filtering (signal processing)

Optical tracking

Detection and tracking algorithms

Error analysis

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