Acta Photonica Sinica, Volume. 49, Issue 4, 0412002(2020)
Specular Normal Calibration Technology of Point Source
In the process of on-orbit radiation calibration, based on reflective point light sources, the modeling of specular normal calibration is inadequate. Aiming at this problem, a specular normal calibration and vector control algorithm based on reflector and camera geometry model is presented. The geometrical placement error between the camera and the reflector is solved by solving the model. The relationship between the centroid coordinates of the solar image and the normal direction of the reflector is established. The multi-point automatic calibration of the specular normal is realized. The method improves the pointing accuracy of the system and specular normal calibration accuracy. The experiment results show that the geometric model anti-solves the centroid coordinates at different times, which for multi-point specular normal calibration. The standard errors of the angular resolution of the sun pixels observed by the camera are 0.021 65° in the X-axis direction and 0.019 82° in the Y-axis direction. The error of the synthetic angle resolution is 0.029 36 °. The accuracy of calibration is better than that of the solar observer to the specular normal calibration. The method realizes the automatic calibration process of the camera observing the solar image instead of manually observing, and expands calibration flexibility. Comprehensive pointing accuracy of system is better than 0.1°. It lays the foundation for on-orbit radiation calibration and modulation transfer function detection of point light source array of networking automation of fixed experimental sites centrally control different energy levels gradients.
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Rui-jin LI, Li-ming ZHANG, Xin LI, Wei WANG, Jia-wei LI, Jun HAO. Specular Normal Calibration Technology of Point Source[J]. Acta Photonica Sinica, 2020, 49(4): 0412002
Category: Instrumentation, Measurement and Metrology
Received: Nov. 25, 2019
Accepted: Jan. 6, 2020
Published Online: Apr. 24, 2020
The Author Email: ZHANG Li-ming (lmzhang@aiofm.ac.cn)