Abstract Optical survey is a main technique for observing resident space object in state-of-the-art implementations. Wide field of view refracting telescopes are widely used in such applications, they have made great contributions and played significant roles. However due to the inevitable optical defects, the efficiency of data reduction is affected and the precision of astrometry is reduced. To optimize the image processing and data reduction, a technique is proposed to achieve high accuracy position measurement for resident space object based upon precise point spread function modeling. In detail, principal component analysis is adopted to extract the dominated components from large amounts of raw images, then after evaluation the optimal model is constructed and the centering algorithm is developed to estimate the position with the model. A trial observation was performed and three Beidou satellites were observed, based on the raw images acquired the efficiency and reliability of our method are tested. The positions of all objects are measured with our proposed method, Gaussian, modified moment and SExtractor, then they are compared with the reference positions and the measurement accuracy can be derived. The results demonstrate that our proposed technique provides another reliable way on high accuracy position measurement for satellites. As the model reveals the characteristics of the imaging process, the data reduction is improved and a more precise astrometric results can be achieved.


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    Titel :

    Precise position measurement for resident space object with point spread function modeling


    Beteiligte:
    Sun, Rong-yu (Autor:in) / Yu, Pei-pei (Autor:in) / Zhang, Wei (Autor:in)

    Erschienen in:

    Advances in Space Research ; 70 , 8 ; 2315-2322


    Erscheinungsdatum :

    2022-06-28


    Format / Umfang :

    8 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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