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Proceedings Paper

Window-based development and evaluation platform for star identification algorithms
Author(s): Curtis W. Padgett; Kenneth Kreutz-Delgado
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Paper Abstract

Star identification algorithms are difficult to develop, require much parameter adjustment, and are hard to evaluate for different sensor configurations or noise environments. We describe a software platform, star_X that was developed for the design and testing of star identification algorithms. It provides a user-friendly window environment, standardized evaluation routines, and a flexible sensor specification format to assist researchers in developing and evaluating star identification algorithms. We describe the software package and compare some existing star identification algorithms that are currently supported.

Paper Details

Date Published: 12 June 1995
PDF: 12 pages
Proc. SPIE 2466, Space Guidance, Control, and Tracking II, (12 June 1995); doi: 10.1117/12.211502
Show Author Affiliations
Curtis W. Padgett, Univ. of California/San Diego (United States)
Kenneth Kreutz-Delgado, Univ. of California/San Diego (United States)


Published in SPIE Proceedings Vol. 2466:
Space Guidance, Control, and Tracking II
Walter J. Fowski; Morris M. Birnbaum, Editor(s)

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