We propose a new star pattern identification algorithm using the vector pattern matching technique on the celestial sphere. The proposed algorithm provides more robust identification performance in cases where the captured star images are biased from the onboard catalog star image positions. The technique is based on the approach of maximizing the target score function, which is formed by the correlation between the original and the reference star patterns on the celestial sphere.


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    Title :

    New Star Pattern Identification with Vector Pattern Matching for Attitude Determination


    Contributors:
    Hyosang Yoon (author) / Sung Wook Paek (author) / Yeerang Lim (author) / Byung-Hoon Lee (author) / Hungu Lee (author)


    Publication date :

    2013-04-01


    Size :

    3806811 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English