This paper describes work that has been done to assess the performance of a three-dimensional velocity filtering algorithm for detecting and tracking a moving target against a cluttered background. The algorithm is considerably more sensitive than conventional frame-differencing techniques, and can detect fainter targets, at the cost of some additional computational complexity. Test images have been generated which contain a target in a cloudscene background, and incorporate typical sensor effects such as noise, blurring (due to both jitter and optical point spread function) and drift. Results are shown in terms of false-alarm rate as a function of sensor noise for different targets, conditions, and wavebands. Some of the trade-offs that have been explored include the choice of either a narrow absorption band (MWIR, 4.22-4.45Cl) for reduced clutter, or a wider band (ML WIR, 5.4/spl plusmn/7.2 /spl mu/) for increased signal. The optimum band is shown to depend on the sensor noise characteristics and the platform stability.


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    Titel :

    Detection and tracking of targets against a cloudscene background using space-based sensors


    Beteiligte:
    Jordan, M.P. (Autor:in) / Su May Hsu, (Autor:in) / Opar, T.P. (Autor:in) / Burke, H.H.K. (Autor:in)


    Erscheinungsdatum :

    2000-01-01


    Format / Umfang :

    703802 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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