DocumentCode
1795253
Title
Star image fusion and star recognition of multi-FOV star sensor
Author
Junpeng Hua ; Tao Zhang ; Hailong Zhu
Author_Institution
Dept. of Autom., Tsinghua Univ., Beijing, China
fYear
2014
fDate
8-10 Aug. 2014
Firstpage
2111
Lastpage
2125
Abstract
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.
Keywords
image fusion; image recognition; star trackers; coordinate transformation; multi-FOV star sensor; simulated star images; star image fusion method; star recognition method; triangle algorithm; Accuracy; Adaptive optics; Catalogs; Image fusion; Image recognition; Pattern recognition; Transforms; coordinate transformation; multi-FOV; star pattern recognition; star sensor;
fLanguage
English
Publisher
ieee
Conference_Titel
Guidance, Navigation and Control Conference (CGNCC), 2014 IEEE Chinese
Conference_Location
Yantai
Print_ISBN
978-1-4799-4700-3
Type
conf
DOI
10.1109/CGNCC.2014.7007502
Filename
7007502
Link To Document