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 d...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Hou, P.K., Wang, X.J., Shi, X.Z., Lin, L.J., Zhang, M.Z.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Electric shock Fuzzy neural networks Fuzzy sets Laboratories Network synthesis Neural networks Sensor fusion Sensor phenomena and characterization Signal synthesis Target recognition
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Beschreibung
Zusammenfassung:	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.
DOI:	10.1109/IFIC.2000.859889