A star image fusion method based on coordinate transformation is presented for a multi-FOV star sensor. By using coordinate transformation, simulated star images are generated and images from different FOVs are fused in the same coordinate system. Star image fusion is combined with triangle algorithm which is widely applied, and the star recognition method is improved for multi-FOV star sensor. The result of simulation shows that the recognition accuracy rate is higher than 95%, which satisfies the requirement of the actual application. The performance of multi-FOV star sensor is superior to that of single-FOV star sensor obviously.


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    Title :

    Star image fusion and star recognition of multi-FOV star sensor


    Contributors:
    Hua, Junpeng (author) / Zhang, Tao (author) / Zhu, Hailong (author)


    Publication date :

    2014-08-01


    Size :

    136836 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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