Paper
6 March 2015 On-orbit calibration of space camera based on stellar image correspondences
You Zhai, Luan Zeng, Wei Xiong
Author Affiliations +
Proceedings Volume 9446, Ninth International Symposium on Precision Engineering Measurement and Instrumentation; 94460R (2015) https://doi.org/10.1117/12.2180663
Event: International Symposium on Precision Engineering Measurement and Instrumentation, 2014, Changsha/Zhangjiajie, China
Abstract
At least three stellar images are needed from different points in space with different orientations of the camera and calibration is realized by finding correspondent stars in stellar images. The method doesn't need any knowledge of orientations of the camera and the calibration is only based on the stellar image correspondences. In this method, homography between stellar images induced by stars (called star-homo for short) is used to approximate the infinite homography (called inf-homo for short). It is well known that the inf-homo provides constraints on image of absolute conic (IAC) which is related to camera internal parameters. Therefore, we use star-homo to replace of inf-homo to compute IAC. When IAC is computed, we can decompose camera internal parameters from IAC. When computing IAC, an unknown scale factor exists, this makes the constraints on IAC nonlinear. In order to transform nonlinear equations to linear equations, we precompute the scale factor by initial principal point estimate. The advantage brought by linear equations is that it is easier to calculate and the results are more accurate and robust. The experimental results show that the proposed method is feasible and can calibrate the space camera with high precision. Under 1 pixel star points extraction error, the relative errors of camera internal parameters are below 0.7%.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
You Zhai, Luan Zeng, and Wei Xiong "On-orbit calibration of space camera based on stellar image correspondences", Proc. SPIE 9446, Ninth International Symposium on Precision Engineering Measurement and Instrumentation, 94460R (6 March 2015); https://doi.org/10.1117/12.2180663
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KEYWORDS
Cameras

Stars

Calibration

3D modeling

Computer vision technology

Machine vision

Error analysis

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