Paper
15 November 2007 New approach for all-star pattern recognition
Guangjun Wang, Wei Wang, Yongtao Wang, Wei Wang, Qingzhong Liang
Author Affiliations +
Proceedings Volume 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition; 67860P (2007) https://doi.org/10.1117/12.746216
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China
Abstract
In this paper, a new star pattern recognition approach has been developed, the basic idea of which is to extract the star pattern information, to fit together the information as a pending data set, putting all reference star information into a criterion data set, and then to compute the relative Hausdorff distance between two sets. The pending star is recognized according to the minimum Hausdorff distance. The approach involves most of the information of pending star dimensional configuration. Therefore, it is strong robust for the disturbance of noise, distortion, and few meteors. In the case of different disturbances, for instance, random noise, imaging distortion, and few meteors etc, semi-physical simulation experimental result indicates that the approach is of good recognition effect.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Guangjun Wang, Wei Wang, Yongtao Wang, Wei Wang, and Qingzhong Liang "New approach for all-star pattern recognition", Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 67860P (15 November 2007); https://doi.org/10.1117/12.746216
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KEYWORDS
Stars

Pattern recognition

Detection and tracking algorithms

Distortion

Space operations

Star sensors

Device simulation

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