DocumentCode :
1933373
Title :
A Novel Star Pattern Recognition Algorithm for Star Sensor
Author :
Jiang, Ming ; Ye, Yi-Zheng ; Yu, Ming-yan ; Wang, Jin-xiang ; Li, Bao-hua
Author_Institution :
Harbin Inst. of Technol., Harbin
Volume :
5
fYear :
2007
fDate :
19-22 Aug. 2007
Firstpage :
2673
Lastpage :
2677
Abstract :
Triangle algorithm is used widely in the field of star pattern recognition, but it also has disadvantage that recognition reliability decreases seriously in areas where there are many stars existing small angular separation. The character match algorithm can solve this problem and it has small size of guide star database, but it can not recognize a star image with displacement caused by camera movement and rotation. To overcome this disadvantage, an effective star pattern recognition algorithm is proposed in this paper. This algorithm divided the entire celestial sphere into a lot of square areas based on some bright stars during constructing guide star database, and then it used sub-areas selected from these square areas for star pattern recognition according to characteristic of star image sensed by star sensor. The simulation results show that the algorithm in this paper not only inherits advantages of character match algorithm, but also has strong robustness against star image displacement.
Keywords :
aerospace computing; character recognition; image matching; image recognition; image sensors; visual databases; celestial sphere; character match algorithm; guide star database; image recognition; star image displacement; star pattern recognition; star sensor; triangle algorithm; Character recognition; Image databases; Image recognition; Machine learning; Machine learning algorithms; Pattern matching; Pattern recognition; Position measurement; Space missions; Space vehicles; Character match; Star pattern recognition; Star sensor;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2007 International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-0973-0
Electronic_ISBN :
978-1-4244-0973-0
Type :
conf
DOI :
10.1109/ICMLC.2007.4370601
Filename :
4370601
Link To Document :
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