Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B1, 333-338, 2012
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXIX-B1/333/2012/
doi:10.5194/isprsarchives-XXXIX-B1-333-2012
© Author(s) 2012. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
24 Jul 2012
An AUTONOMOUS STAR IDENTIFICATION ALGORITHM BASED ON THE DIRECTED CIRCULARITY PATTERN
J. Xie1, X. Tang1, W. Jiang2, and X. Fu1 1Satellite Surveying and Mapping Application Centre, Lianhuachi West Road 28, Beijing, P.R.China
2State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Luoyu Road 129, Wuhan, P.R.China
Keywords: Angular distance, Matching probability, Matching group, Directed circularity pattern, The longest matching chain Abstract. The accuracy of the angular distance may decrease due to lots of factors, such as the parameters of the stellar camera aren't calibrated on-orbit, or the location accuracy of the star image points is low, and so on, which can cause the low success rates of star identification. A robust directed circularity pattern algorithm is proposed in this paper, which is developed on basis of the matching probability algorithm. The improved algorithm retains the matching probability strategy to identify master star, and constructs a directed circularity pattern with the adjacent stars for unitary matching. The candidate matching group which has the longest chain will be selected as the final result. Simulation experiments indicate that the improved algorithm has high successful identification and reliability etc, compared with the original algorithm. The experiments with real data are used to verify it.
Conference paper (PDF, 850 KB)


Citation: Xie, J., Tang, X., Jiang, W., and Fu, X.: An AUTONOMOUS STAR IDENTIFICATION ALGORITHM BASED ON THE DIRECTED CIRCULARITY PATTERN, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B1, 333-338, doi:10.5194/isprsarchives-XXXIX-B1-333-2012, 2012.

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