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Optical Engineering

Automatic target recognition and tracking using an acousto-optic image correlator
Author(s): Perry A. Molley; Brian A. Kast
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Paper Abstract

A hybrid electro-optic image processor has been developed for automatic target recognition and tracking 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 postprocessing needed for increasing the peak-to-clutter 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.

Paper Details

Date Published: 1 May 1992
PDF: 7 pages
Opt. Eng. 31(5) doi: 10.1117/12.57505
Published in: Optical Engineering Volume 31, Issue 5
Show Author Affiliations
Perry A. Molley, Sandia National Labs. (United States)
Brian A. Kast, Sandia National Labs. (United States)

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