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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

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


    Contributors:
    Jordan, M.P. (author) / Su May Hsu, (author) / Opar, T.P. (author) / Burke, H.H.K. (author)


    Publication date :

    2000-01-01


    Size :

    703802 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Detection and Tracking of Targets Against a Cloudscene Background Using Space-Based Sensors

    Jordan, M. P. / Hsu, S. M. / Opar, T. P. et al. | British Library Conference Proceedings | 2000


    Blurred and flickering imaging targets detection and tracking against bright background

    Peng, Zhenming / Shiying Yang, / Fanbin Meng, et al. | IEEE | 2008


    Background Sources for Calibrating Space-based Sensors

    Price, S. / Kraemer, K. / American Institute of Aeronautics and Astronautics | British Library Conference Proceedings | 2003


    Background Sources for Calibrating Space-based Sensors

    Price, Stephen / Kraemer, K. | AIAA | 2003


    Detection and tracking of LEO collision events using space-based sensors

    El-Fallah, A. / Zatezalo, A. / Mahler, R. et al. | SPIE | 2011