XCS for robust automatic target recognition
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
XCS-based versus UCS-based feature pattern classification system
Proceedings of the 14th annual conference on Genetic and evolutionary computation
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We present new results from our most recent efforts in applying XCS to automatic target recognition (ATR). We place particular emphasis on ATR as a series of linked problems, which include pre-processing of multi-spectral data, detection of objects (in this case, vehicles) in that data, and identification (classification) of those objects. Multi-spectral data contains visual imagery, and additional imagery from several infrared spectral bands. The performance of XCS, with robust features, notably exceeds that of a template-based classifier on the pre-processed multi-spectral data for vehicle identification.