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27 March 2022 Optimal matching based on singular value decomposition for star pattern recognition
Liang Jiang, Shijie An, Yalei Qi, Shuizhong Chen, Shengwei Zhang
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Proceedings Volume 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications; 1216957 (2022) https://doi.org/10.1117/12.2624324
Event: Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 2021, Kunming, China
Abstract
For the purpose of improving the recognition rate and the anti-noise ability, a new star pattern recognition algorithm is proposed, which is based on optimal singular value decomposition matching. The algorithm can effectively solve the recognition failure caused by redundant matching results, which the triangle recognition algorithm and the pyramid algorithm can not. Compared with traditional star pattern recognition algorithms, the recognition rate and the anti-noise ability of the new algorithm proposed in this paper are improved. With the star position noise added (Gauss noise, mean=0, σ=3pixel), the recognition rate is 98.91%, and the average recognition time assumption is 20.21ms.
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Liang Jiang, Shijie An, Yalei Qi, Shuizhong Chen, and Shengwei Zhang "Optimal matching based on singular value decomposition for star pattern recognition", Proc. SPIE 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 1216957 (27 March 2022); https://doi.org/10.1117/12.2624324
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KEYWORDS
Stars
Pattern recognition
Computer simulations
Matrices
Star sensors
Aerospace engineering
Electro optics
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