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.
Automatic target recognition using acousto-optic image correlator
Automatic Object Recognition ; 1991 ; Orlando,FL,United States
Proc. SPIE ; 1471
1991-08-01
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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