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
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;
Conference_Titel :
Guidance, Navigation and Control Conference (CGNCC), 2014 IEEE Chinese
Conference_Location :
Yantai
Print_ISBN :
978-1-4799-4700-3
DOI :
10.1109/CGNCC.2014.7007502
