Title :
Target recognition using fuzzy fusion classifier
Author :
Hou, P.K. ; Wang, X.J. ; Shi, X.Z. ; Lin, L.J. ; Zhang, M.Z.
Author_Institution :
State Key Lab. of Vibration, Shock Noise, Shanghai Jiaotong Univ., China
Abstract :
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.
Keywords :
feature extraction; fuzzy logic; fuzzy neural nets; sensor fusion; target tracking; feature fusion technique; features synthesis; fuzzy fusion classifier; fuzzy logic; multisensors; mutual restraints; recognition system; samples distribution; target recognition; underwater target recognition; Electric shock; Fuzzy neural networks; Fuzzy sets; Laboratories; Network synthesis; Neural networks; Sensor fusion; Sensor phenomena and characterization; Signal synthesis; Target recognition;
Conference_Titel :
Information Fusion, 2000. FUSION 2000. Proceedings of the Third International Conference on
Conference_Location :
Paris, France
Print_ISBN :
2-7257-0000-0
DOI :
10.1109/IFIC.2000.859889
