13 August 1999 Computationally intelligent approach to ATR
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Abstract
A model-based system employing a computationally intelligent search strategy has been developed for classifying military vehicles in SAR imagery. The system combines pose detection, Evolutionary Programming (EP) methods, and Geometric Hashing (GH). The design is based on an information filtering process that progressively narrows the scope of the problem space while maximizing for success. While the current system has been trained to identify 12 military vehicles, the architecture is extensible to additional vehicle types.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ronald Patton, Ronald Patton, Liviu I. Voicu, Liviu I. Voicu, Steven P. Smith, Steven P. Smith, Harley R. Myler, Harley R. Myler, } "Computationally intelligent approach to ATR", Proc. SPIE 3721, Algorithms for Synthetic Aperture Radar Imagery VI, (13 August 1999); doi: 10.1117/12.357670; https://doi.org/10.1117/12.357670
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