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4 May 2009 Automatic building identification under bomb damage conditions
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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.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Robert Woodley, Warren Noll, Joseph Barker, and Donald C. Wunsch II "Automatic building identification under bomb damage conditions", Proc. SPIE 7335, Automatic Target Recognition XIX, 733509 (4 May 2009); https://doi.org/10.1117/12.819130
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