Title :
A New Star Identification Algorithm based on Matching Probability
Author :
Junfeng, Xie ; Wanshou, Jiang ; Jianya, Gong
Author_Institution :
State key Lab. of Inf. Eng. in Surveying, Wuhan Univ., Wuhan
Abstract :
A new star identification algorithm based on matching probability is proposed for satellite attitude determination. In this algorithm, the brightest observed star is considered as the primary star, and the radial geometry pattern is constructed by linking the primary star to the other adjacent stars in the FOV. When a link is matched with star database, the two corresponding stars in the star database are recorded. The star with the most appearance times is regarded as the correspondence of the primary star. Experiments show that the computation time and the storage requirement of the algorithm are small, and the identification rate is high, compared with improved triangle matching algorithms.
Keywords :
astronomical techniques; astronomy computing; database management systems; pattern matching; matching probability; primary star; radial geometry pattern; satellite attitude determination; star database; star identification algorithm; triangle matching algorithm; Algorithm design and analysis; Cameras; Image databases; Information geometry; Joining processes; Pattern matching; Position measurement; Remote sensing; Satellites; Spatial databases; matching probability; radial geometry pattern; star identification; the primary star;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-2807-6
Electronic_ISBN :
978-1-4244-2808-3
DOI :
10.1109/IGARSS.2008.4779563
