Automatic target recognition using acousto-optic image correlator

Perry A. Molley; Brian A. Kast

doi:10.1117/12.44881

1 August 1991 Automatic target recognition using acousto-optic image correlator

Perry A. Molley, Brian A. Kast

Proceedings Volume 1471, Automatic Object Recognition; (1991) https://doi.org/10.1117/12.44881
Event: Orlando '91, 1991, Orlando, FL, United States

Abstract

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.

Citation Download Citation

Perry A. Molley and Brian A. Kast "Automatic target recognition using acousto-optic image correlator", Proc. SPIE 1471, Automatic Object Recognition, (1 August 1991); https://doi.org/10.1117/12.44881

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