Underwater target recognition and data fusion

The paper discusses information fusion technique in underwater target recognition. It proposes a new feature fusion scheme and designs ARTF(Adaptive Resonance Theory for Feature Fusion) Classifier. The classifier emphasizes mutual restraints among classes and synthesizes patterns like combination operation in fuzzy logic. In practice, ARTF classifier can efficiently improve classification performance of recognition system by synthesizing features from multisensors.