Prof. Yuebo Ma Profile

Prof. Yuebo Ma

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Proceedings Article | 13 June 2024 Paper

Deep-space exploration camera on-orbit white balance calibration based on correlated color temperature interpolation

Sainan Liu, Hongfeng Long, Yuebo Ma, Li Qiao, Zhen Liang, Zifei Cao, Yihui Zhao, Jinhui Yi, Zijian Zhu, Yuping Tang, Rujin Zhao

Proceedings Volume 13180, 131802E (2024) https://doi.org/10.1117/12.3033736

KEYWORDS: Calibration, Color difference, Cameras, Mars, Image processing

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There is a significant difference in correlated color temperature between deep-space environmental light sources and that on the ground. The lack of accurate calibration parameters for cameras can lead to errors in the collected scientific image data, resulting in the failure of scientific tasks. Thus it is of vital significance to accurate white balance calibration for deep-space-exploration cameras. However, traditional white-balance methods have certain limitations. The generalization ability of the white balance correction matrix is insufficient, the ground calibration methods have poor on-orbit adaptability, and deep space exploration targets are unknown and uncertain. To this end, we proposed an on-orbit white balance calibration method for deep-space-exploration cameras based on correlated correlated color temperature interpolation. Aiming to the deep space environment background, four pre-calibrated illuminations with different correlated color temperatures are selected reasonably. Before solving the white balance calibration matrix, we stretch the image grayscale in different exposure times to ensure the brightness balance and obtain the optimal white balance matrix, which improves the generalization ability of the matrix. Finally, by interpolating the pre-calibration white balance matrixes based on the on-orbit environmental correlated color temperature, the average color difference can be reduced by 28 (72.54%) DE2000 color difference units.

Proceedings Article | 15 December 2023 Paper

Telephoto camera calibration based on robust homography matrix

Pinghai Lv, Hongfeng Long, Yuebo Ma, Jinhui Yi, Zhen Liang, Enhai Liu, Rujin Zhao

Proceedings Volume 12971, 129710G (2023) https://doi.org/10.1117/12.3017312

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Aiming at the problem of low calibration accuracy of the telephoto camera, a telephoto camera calibration method based on a highly robust homography matrix is proposed. In the long-distance and long-focus calibration scenario, this paper expounded and analyzed the reasons for the low calibration accuracy of the telephoto camera, and simulated and compared the influence of optimizing the distortion coefficient on the intrinsic parameters calculation in Zhang's calibration method and staged calibration method , to illustrate the importance of the precision of the homography matrix. To improve the accuracy of the homography matrix, a new optimization loss function under multiple constraints is proposed. Experiments show that the proposed telephoto camera calibration method is reasonable and effective. Compared with the traditional two-dimensional plane calibration method, our method has better calibration accuracy and robustness. When the image is slightly distorted and the noise level = 0.5pixel, the average reprojection error reaches 0.2488 pixel, and the error is reduced by 3.86%.

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