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Proceedings Paper

Modeling method and discriminant criterion for single-particle image
Author(s): Haiyong Wang; Guoyuan Tian; Hongjun Zhong; Long Wang
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Paper Abstract

Single-particle image spot on star map of star sensor can be mistaken for real star image and incur fault star identification, how to treat space single-particle properly in a star sensor is an emerging serious problem. Analysis and modeling are conducted for two types of single-particle image which are of spot shape and stripe shape. By observing two extreme cases of center location (pixel center or corner vertex) of a Gaussian star image and after examining of their Gaussian gray distribution characteristics, the discriminant criterion of single-particle image spot is established with a form of gray interval which is different with the pixel number of connected domains. Another discriminant criterion is also set up according to morphology, which is a limit value calculated from an equation expressing the slenderness of a star image. Simulating test results indicate that the involvement of the discriminant criterion can effectively identify single-particle images from real star ones, which helps to promote the reliability of attitude determination of star sensor.

Paper Details

Date Published: 12 March 2020
PDF: 12 pages
Proc. SPIE 11436, 2019 International Conference on Optical Instruments and Technology: Optical Sensors and Applications, 114360X (12 March 2020); doi: 10.1117/12.2550361
Show Author Affiliations
Haiyong Wang, Beihang Univ. (China)
Guoyuan Tian, Beihang Univ. (China)
Hongjun Zhong, Beijing Institute of Control Engineering (China)
Long Wang, Beijing Institute of Control Engineering (China)


Published in SPIE Proceedings Vol. 11436:
2019 International Conference on Optical Instruments and Technology: Optical Sensors and Applications
Xuping Zhang; Hai Xiao, Editor(s)

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