Many astronomical observations require extended image exposures in order to improve signal to noise ratio and to provide adequate data for quantitative analysis of image contents. Maintaining accurate pointing of a telescope over the desired observation time is challenging. We consider the problem of correcting for changes in the field of view by dividing the overall observation into a series of image frames, analyzing the individual frames to estimate the changes in the field of view between frames, and performing a corrected accumulation of image frames to form the final observation. We present an automated image tracking algorithm tailored for execution on resource-constrained platforms. We show the results of extensive algorithm performance characterization studies. Finally we describe an implementation of the algorithm for a radiation-tolerant FPGA.


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    Titel :

    High-Performance Automated Image Tracking for Astronomical Observations


    Beteiligte:
    Koets, Michael A. (Autor:in) / Buie, Marc W. (Autor:in)


    Erscheinungsdatum :

    06.03.2021


    Format / Umfang :

    2299396 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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