Target recognition using fuzzy fusion classifier

This paper makes available a feature fusion technique in target recognition and proposes the necessary characteristics for fusion classifier design. Then, fuzzy fusion classifier (FFC) based on the characteristics presented is designed. FFC presented here does not make any assumption about samples distribution and emphasizes mutual restraints among different classes as well as synthesizes patterns like combination operation in fuzzy logic. For the application of underwater target recognition, FFC can efficiently improve classification performance of recognition system by synthesizing features of signals from multisensors.