A Robust Star Acquisition Algorithm Based on Facet Model

Abstract:

An efficient and robust star acquisition algorithm based on facet fitting is presented to improve the performance of star sensors. The location of star central pixels can be determined by searching extremum intensity pixels among the point spread function (PSF) of stars, which is well fitted by the cubic facet model. According to extremum theory, the second derivative operators are pre-calculated and the searching process can be completed using convolution operations thrice. Simultaneously, cluster formation is also a time consuming routine, which is accomplished using specific maximum and minimum threshold to speed up it. A variety of experiments are carried out to validate the performance of proposed algorithm, moreover, the performance evaluation index M is presented. The results clearly show that the proposed algorithm makes a great progress than the vector method in time expense and accuracy under intense noise conditions.

• Periodical: Advanced Materials Research (Volumes 532-533)
• Pages: 1747-1751
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.532-533.1747
• Online since: June 2012
• Authors: Guang Rui Li
• Keywords: Derivative Operator, Facet Model, Star Acquisition Algorithm, Surface Fitting, Thredshold Segment

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