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12

EPS
1998
Springer

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239views Artificial Intelligence» more EPS 1998»

Genetic Programming for Automatic Target Classification and Recognition

13 years 8 months ago

Genetic Programming for Automatic Target Classification and Recognition

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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.

Stephen A. Stanhope, Jason M. Daida

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Artificial Intelligence | EPS 1998 | Feature Sets | Genetic Programming | Synthetic Aperture Radar |

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Added	05 Aug 2010
Updated	05 Aug 2010
Type	Conference
Year	1998
Where	EPS
Authors	Stephen A. Stanhope, Jason M. Daida

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