Automatic Building Identification under Bomb Damage Conditions
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.
R. S. Woodley et al., "Automatic Building Identification under Bomb Damage Conditions," Proceedings of SPIE, SPIE, Apr 2009.
The definitive version is available at http://dx.doi.org/10.1117/12.819130
Electrical and Computer Engineering
Keywords and Phrases
Automatic Target Recognition; Band Width; Battle Damage Assessment; Large Image Streams; Passive Automated Image Processing Capability; Target Identification
Article - Conference proceedings
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