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Optical Engineering

Automatic target recognition using a passive multisensor suite
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Paper Abstract

An ongoing study of automatic target recognition using a passive multisensor suite is presented. The multisensor suite consists of electro-optical and acoustic sensors, a radio frequency interferometer, and meteorological sensors. Three feature analysis tools-a genetic algorithm, a branch-and-bound algorithm, and a new class overlap region partitioning scheme (CORPS)-are employed for assessing the effectiveness of features extracted by several data and feature fusion concepts. Dedicated hardware has been configured for laboratory and field testing. A high-resolution graphics display has been designed for monitoring the target-acquisition-related processes and maximizing information transfer to the operator.

Paper Details

PDF: 10 pages
Opt. Eng. 31(12) doi: 10.1117/12.60015
Published in: Optical Engineering Volume 31, Issue 12, December 1992
Show Author Affiliations
S. Richard F. Sims, U.S. Army Armament Research, Development and Engineering Ctr. (United States)
Belur V. Dasarathy, Dynetics, Inc. (United States)


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