Autonomous Star Identification for GEO Objects Orientation Based on Delaunay Triangulation

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  • SUN Jing
    Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Science Graduate University of Chinese Academy of Sciences
  • LI Guangrui
    Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Science Graduate University of Chinese Academy of Sciences Shaanxi Institute of Education
  • WEN Desheng
    Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Science
  • XUE Bin
    Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Science
  • YANG Shaodong
    Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Science Graduate University of Chinese Academy of Sciences

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A novel star identification algorithm for GEO objects orientation is presented greatly. The quadrangle patterns are successfully generated by Delaunay triangulation applied to the sphere point set, which reduces the memory and identification time cost compared to the conventional triangle match algorithm. The guide database consisting of three correlative data tables is constructed to arrange the data efficiently. Furthermore, an index array is introduced to search the database rapidly. At validation, 60 images recorded by the GEO surveillance camera are used to implement the algorithm, which gives an identification rate ranging from 99.38% to 95.52% at various positional noise amplitudes. The achievable performance is demonstrated by comparison with two published algorithms.

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