Star image fusion and star recognition of multi-FOV star sensor

A star image fusion method based on coordinate transformation is presented for a multi-FOV star sensor. By using coordinate transformation, simulated star images are generated and images from different FOVs are fused in the same coordinate system. Star image fusion is combined with triangle algorith...

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Bibliographic Details
Published inProceedings of 2014 IEEE Chinese Guidance, Navigation and Control Conference pp. 2111 - 2125
Main Authors Junpeng Hua, Tao Zhang, Hailong Zhu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2014
Subjects
Accuracy
Adaptive optics
coordinate transformation
Image fusion
Image recognition
multi-FOV
Pattern recognition
star pattern recognition
star sensor
Transforms
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Summary:A star image fusion method based on coordinate transformation is presented for a multi-FOV star sensor. By using coordinate transformation, simulated star images are generated and images from different FOVs are fused in the same coordinate system. Star image fusion is combined with triangle algorithm which is widely applied, and the star recognition method is improved for multi-FOV star sensor. The result of simulation shows that the recognition accuracy rate is higher than 95%, which satisfies the requirement of the actual application. The performance of multi-FOV star sensor is superior to that of single-FOV star sensor obviously.
ISBN:1479947008
9781479947003
DOI:10.1109/CGNCC.2014.7007502