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Proceedings Paper

Automatic building identification under bomb damage conditions
Author(s): Robert Woodley; Warren Noll; Joseph Barker; Donald C. Wunsch II
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Paper Abstract

Given the vast amount of image intelligence utilized in support of planning and executing military operations, a passive automated image processing capability for target identification is urgently required. Furthermore, transmitting large image streams from remote locations would quickly use available band width (BW) precipitating the need for processing to occur at the sensor location. This paper addresses the problem of automatic target recognition for battle damage assessment (BDA). We utilize an Adaptive Resonance Theory approach to cluster templates of target buildings. The results show that the network successfully classifies targets from non-targets in a virtual test bed environment.

Paper Details

Date Published: 4 May 2009
PDF: 10 pages
Proc. SPIE 7335, Automatic Target Recognition XIX, 733509 (4 May 2009); doi: 10.1117/12.819130
Show Author Affiliations
Robert Woodley, 21st Century Systems, Inc. (United States)
Warren Noll, 21st Century Systems, Inc. (United States)
Joseph Barker, 21st Century Systems, Inc. (United States)
Donald C. Wunsch II, Missouri Univ. of Science and Technology (United States)

Published in SPIE Proceedings Vol. 7335:
Automatic Target Recognition XIX
Firooz A. Sadjadi; Abhijit Mahalanobis, Editor(s)

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