@inproceedings{9874cb34cb884fb182893a409ed91f9c,
title = "Star sensor calibration based on interior-exterior parameters and error compensation shoubao liu1",
abstract = "The researches on calibration of star sensor rarely involve the exterior parameters and image distortion of the optical system. In order to get more accurate interior-exterior parameters of the optical system, this paper proposes exact calibration model and algorithm based on interior-exterior parameters. Basing on analyzing the imaging model of star sensor, the principle of the star sensor calibration is as follow: firstly, the two-step method is used to get the initial interior-exterior parameters; then Levenberg-Marquardt optimization algorithm is utilized to get the global optimal solution. Experiments show that the angular distance of stars can be reduced from 57 to 5.2 after calibration. In addition, the calibration method can effectively eliminate the coupling of the interior-exterior parameters, achieve higher measurement accuracy, and significantly improve the recognition rate of the star map.",
keywords = "Interior-exterior parameters, Levenberg-Marquardt, Star sensor calibration",
author = "Jie Ma and Fei Yan and Yadong Zhu and Jinwen Tian and Wenxing Fu",
year = "2013",
doi = "10.1117/12.2031029",
language = "英语",
isbn = "9780819498045",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
booktitle = "MIPPR 2013",
note = "8th Symposium on Multispectral Image Processing and Pattern Recognition, MIPPR 2013 ; Conference date: 26-10-2013 Through 27-10-2013",
}