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Proceedings Paper

Automatic target recognition using 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 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.

Paper Details

Date Published: 1 August 1991
PDF: 9 pages
Proc. SPIE 1471, Automatic Object Recognition, (1 August 1991); doi: 10.1117/12.44881
Show Author Affiliations
Perry A. Molley, Sandia National Labs. (United States)
Brian A. Kast, Sandia National Labs. (United States)

Published in SPIE Proceedings Vol. 1471:
Automatic Object Recognition
Firooz A. Sadjadi, Editor(s)

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