Proceedings Paper
Computationally intelligent approach to ATR| Format | Member Price | Non-Member Price |
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Paper 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.
Paper Details
Date Published: 13 August 1999
PDF: 11 pages
Proc. SPIE 3721, Algorithms for Synthetic Aperture Radar Imagery VI, (13 August 1999); doi: 10.1117/12.357670
Published in SPIE Proceedings Vol. 3721:
Algorithms for Synthetic Aperture Radar Imagery VI
Edmund G. Zelnio, Editor(s)
PDF: 11 pages
Proc. SPIE 3721, Algorithms for Synthetic Aperture Radar Imagery VI, (13 August 1999); doi: 10.1117/12.357670
Show Author Affiliations
Ronald Patton, I-Math Associates, Inc. (United States)
Liviu I. Voicu, I-Math Associates, Inc. (United States)
Liviu I. Voicu, I-Math Associates, Inc. (United States)
Steven P. Smith, I-Math Associates, Inc. (United States)
Harley R. Myler, I-Math Associates, Inc. (United States)
Harley R. Myler, I-Math Associates, Inc. (United States)
Published in SPIE Proceedings Vol. 3721:
Algorithms for Synthetic Aperture Radar Imagery VI
Edmund G. Zelnio, Editor(s)
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