Improved autonomous star identification algorithm

doi:10.1088/1674-1056/24/6/064202

中国物理B ›› 2015, Vol. 24 ›› Issue (6): 64202-064202.doi: 10.1088/1674-1056/24/6/064202

• ELECTROMAGNETISM, OPTICS, ACOUSTICS, HEAT TRANSFER, CLASSICAL MECHANICS, AND FLUID DYNAMICS • 上一篇下一篇

Improved autonomous star identification algorithm

罗丽燕, 许录平, 张华, 孙景荣

School of Aerospace Science and Technology, Xidian University, Xi'an 710126, China

收稿日期:2014-11-12 修回日期:2014-12-18 出版日期:2015-06-05 发布日期:2015-06-05
基金资助:
Project supported by the National Natural Science Foundation of China (Grant Nos. 61172138 and 61401340), the Open Research Fund of the Academy of Satellite Application, China (Grant No. 2014_CXJJ-DH_12), the Fundamental Research Funds for the Central Universities, China (Grant Nos. JB141303 and 201413B), the Natural Science Basic Research Plan in Shaanxi Province, China (Grant No. 2013JQ8040), the Research Fund for the Doctoral Program of Higher Education of China (Grant No. 20130203120004), and the Xi'an Science and Technology Plan, China (Grant. No CXY1350(4)).

Improved autonomous star identification algorithm

Luo Li-Yan (罗丽燕), Xu Lu-Ping (许录平), Zhang Hua (张华), Sun Jing-Rong (孙景荣)

School of Aerospace Science and Technology, Xidian University, Xi'an 710126, China

Received:2014-11-12 Revised:2014-12-18 Online:2015-06-05 Published:2015-06-05
Contact: Luo Li-Yan E-mail:xiaoyan12027@163.com
About author:42.30.Sy; 42.30.-d; 95.85.-e
Supported by:
Project supported by the National Natural Science Foundation of China (Grant Nos. 61172138 and 61401340), the Open Research Fund of the Academy of Satellite Application, China (Grant No. 2014_CXJJ-DH_12), the Fundamental Research Funds for the Central Universities, China (Grant Nos. JB141303 and 201413B), the Natural Science Basic Research Plan in Shaanxi Province, China (Grant No. 2013JQ8040), the Research Fund for the Doctoral Program of Higher Education of China (Grant No. 20130203120004), and the Xi'an Science and Technology Plan, China (Grant. No CXY1350(4)).

摘要/Abstract

摘要： The log–polar transform (LPT) is introduced into the star identification because of its rotation invariance. An improved autonomous star identification algorithm is proposed in this paper to avoid the circular shift of the feature vector and to reduce the time consumed in the star identification algorithm using LPT. In the proposed algorithm, the star pattern of the same navigation star remains unchanged when the stellar image is rotated, which makes it able to reduce the star identification time. The logarithmic values of the plane distances between the navigation and its neighbor stars are adopted to structure the feature vector of the navigation star, which enhances the robustness of star identification. In addition, some efforts are made to make it able to find the identification result with fewer comparisons, instead of searching the whole feature database. The simulation results demonstrate that the proposed algorithm can effectively accelerate the star identification. Moreover, the recognition rate and robustness by the proposed algorithm are better than those by the LPT algorithm and the modified grid algorithm.

关键词: log-polar transform, star identification, star pattern, star sensor

Abstract: The log–polar transform (LPT) is introduced into the star identification because of its rotation invariance. An improved autonomous star identification algorithm is proposed in this paper to avoid the circular shift of the feature vector and to reduce the time consumed in the star identification algorithm using LPT. In the proposed algorithm, the star pattern of the same navigation star remains unchanged when the stellar image is rotated, which makes it able to reduce the star identification time. The logarithmic values of the plane distances between the navigation and its neighbor stars are adopted to structure the feature vector of the navigation star, which enhances the robustness of star identification. In addition, some efforts are made to make it able to find the identification result with fewer comparisons, instead of searching the whole feature database. The simulation results demonstrate that the proposed algorithm can effectively accelerate the star identification. Moreover, the recognition rate and robustness by the proposed algorithm are better than those by the LPT algorithm and the modified grid algorithm.

Key words: log-polar transform, star identification, star pattern, star sensor

中图分类号: (Pattern recognition)

42.30.Sy

42.30.-d (Imaging and optical processing) 95.85.-e (Astronomical observations (additional primary heading(s) must be chosen with these entries to represent the astronomical objects and/or properties studied))

罗丽燕, 许录平, 张华, 孙景荣. Improved autonomous star identification algorithm[J]. 中国物理B, 2015, 24(6): 64202-064202.

Luo Li-Yan (罗丽燕), Xu Lu-Ping (许录平), Zhang Hua (张华), Sun Jing-Rong (孙景荣). Improved autonomous star identification algorithm[J]. Chin. Phys. B, 2015, 24(6): 64202-064202.

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Improved autonomous star identification algorithm

Improved autonomous star identification algorithm

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