Share Email Print
cover

Proceedings Paper

Boltzmann entropy based star identification algorithm for star tracker
Author(s): C. Zhang; X. B. Shen; C. Y. Chen
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

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)

© SPIE. Terms of Use
Back to Top