A hybrid electro-optic image processor has been developed for automatic target recognition using an acousto-optic correlator and digital electronics. The optical system performs the computationally intensive correlation operation on the large 2-D input scenes. The electronics provide the decision-making capability and also perform part of the normalization needed for increasing the peak-to-sidelobe ratio in cluttered scenes. The system is able to analyze each correlation plane and apply a real-time template selection algorithm to accommodate scale or rotation changes of the target. A demonstration of the current system capabilities is presented using a terrain board with several different types of stationary and moving model vehicles.


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    Titel :

    Automatic target recognition using acousto-optic image correlator


    Beteiligte:
    Molley, Perry A. (Autor:in) / Kast, Brian A. (Autor:in)

    Kongress:

    Automatic Object Recognition ; 1991 ; Orlando,FL,United States


    Erschienen in:

    Erscheinungsdatum :

    1991-08-01





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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