The attitude information acquisition of unresolved space objects, such as micro-nano satellites and GEO objects under the way of ground-based optical observations, is a challenge to space surveillance. In this paper, a useful method is proposed to estimate the SO attitude state according to the simulation analysis of photometric data in different attitude states. The object shape model was established and the parameters of the BRDF model were determined, then the space object photometric model was established. Furthermore, the photometric data of space objects in different states are analyzed by simulation and the regular characteristics of the photometric curves are summarized. The simulation results show that the photometric characteristics are useful for attitude inversion in a unique way. Thus, a new idea is provided for space object identification in this paper.


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    Title :

    Simulation analysis of photometric data for attitude estimation of unresolved space objects


    Contributors:
    Du, Xiaoping (author) / Gou, Ruixin (author) / Liu, Hao (author) / Hu, Heng (author) / Wang, Yang (author)

    Conference:

    AOPC 2017: Space Optics and Earth Imaging and Space Navigation ; 2017 ; Beijing,China


    Published in:

    Proc. SPIE ; 10463


    Publication date :

    2017-10-24





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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