Genetic Programming for Automatic Target Classification and Recognition

We use the genetic programming (GP) paradigm for two tasks. The first task given a GP is the generation of rules for the target / clutter classification of a set of synthetic aperture radar (SAR) images, the second, the generation of rules for the identification of tanks in a second set of SAR images. To perform these tasks, previously defined feature sets are generated on the various images, and GP is used to select relevant features and methods of analyzing these features. GP results are then compared with previous work using the feature sets.

• Type: Conference
• Year: 1998
• Where: EPS
• Authors: Stephen A. Stanhope, Jason M. Daida
• Keywords: Artificial Intelligence, EPS 1998, Feature Sets, Genetic Programming, Synthetic Aperture Radar