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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

Date Published: 1 December 1992
PDF: 10 pages
Opt. Eng. 31(12) doi: 10.1117/12.60015
Published in: Optical Engineering Volume 31, Issue 12
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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