Boltzmann entropy based star identification algorithm for star tracker

C. Zhang; X. B. Shen; C. Y. Chen

doi:10.1117/12.652309

3 November 2005 Boltzmann entropy based star identification algorithm for star tracker

C. Zhang, X. B. Shen, C. Y. Chen

Proceedings Volume 6044, MIPPR 2005: Image Analysis Techniques; 60440A (2005) https://doi.org/10.1117/12.652309
Event: MIPPR 2005 SAR and Multispectral Image Processing, 2005, Wuhan, China

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.

Citation Download Citation

C. Zhang, X. B. Shen, and C. Y. Chen "Boltzmann entropy based star identification algorithm for star tracker", Proc. SPIE 6044, MIPPR 2005: Image Analysis Techniques, 60440A (3 November 2005); https://doi.org/10.1117/12.652309

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