The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XXXIX-B1
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B1, 333–338, 2012
https://doi.org/10.5194/isprsarchives-XXXIX-B1-333-2012
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B1, 333–338, 2012
https://doi.org/10.5194/isprsarchives-XXXIX-B1-333-2012

  24 Jul 2012

24 Jul 2012

An AUTONOMOUS STAR IDENTIFICATION ALGORITHM BASED ON THE DIRECTED CIRCULARITY PATTERN

J. Xie1, X. Tang1, W. Jiang2, and X. Fu1 J. Xie et al.
  • 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.