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Proceedings Paper

Boltzmann entropy based star identification algorithm for star tracker
Author(s): C. Zhang; X. B. Shen; C. Y. Chen
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Paper Abstract

In this paper star identification has been formulated as a pattern recognition problem. Star patterns, as seen from spacecrafts, are represented as feature descriptor containing directional cosines of the guide-star, star indices and singular value for each star group. Eigenvalue based Boltzman entropy has been used to select the adjacent stars of the guide star to specify a star-pattern. The training patterns are kept in a reference catalog and used for comparing and classifying query patterns (star-groups). The effectiveness of eigenvalues (or singular values) as features has been shown with distribution histogram. Identification performance was tested with different level pixel error.

Paper Details

Date Published: 3 November 2005
PDF: 6 pages
Proc. SPIE 6044, MIPPR 2005: Image Analysis Techniques, 60440A (3 November 2005); doi: 10.1117/12.652309
Show Author Affiliations
C. Zhang, Huazhong Univ. of Science & Technology (China)
X. B. Shen, Huazhong Univ. of Science & Technology (China)
C. Y. Chen, Huazhong Univ. of Science & Technology (China)

Published in SPIE Proceedings Vol. 6044:
MIPPR 2005: Image Analysis Techniques
Deren Li; Hongchao Ma, Editor(s)

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