A novel fuzzy C-means method for hyperspectral image classification

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Accession number:20092412127878

Title:A novel fuzzy C-means method for hyperspectral image classification

Authors:Kuo, Bor-Chen (1); Huang, Wen-Chun (1); Liu, Hsiang-Chuan (2); Tseng, Shiau-Chian (1)

Author affiliation:(1) Graduate School of Educational Measurement and Statistics, National Taichung University, Taiwan; (2) Department of Bio Informatics, Asia University, Taiwan

Corresponding author:Kuo, B.-C.

(kbc@mail.ntcu.edu.tw)

Source title:International Geoscience and Remote Sensing Symposium (IGARSS)

Abbreviated source title:Dig Int Geosci Remote Sens Symp (IGARSS) Volume:2

Issue:1

Monograph title:2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings

Issue date:2008

Publication year:2008 Pages:II1002-II1005 Article number:4779166 Language:English

CODEN:IGRSE3

ISBN-13:9781424428083

Document type:Conference article (CA)

Conference name:2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings

Conference date:July 6, 2008 - July 11, 2008 Conference location:Boston, MA, United states Conference code:76978

Sponsor:Institute of Electrical and Electronics Engineers; Geoscience and Remote Sensing Society

Publisher:Institute of Electrical and Electronics Engineers Inc., 445 Hoes Lane / P.O. Box 1331, Piscataway, NJ 08855-1331, United States

Abstract:In this paper, a new fuzzy clustering, namely fuzzy

cweighted mean (FCWM), is being proposed. The cost function of the

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classical fuzzy c-mean (FCM) is defined by the distances from data to the cluster centers with their fuzzy memberships. Another idea for estimating the cluster centers originating form the idea of weighted mean applied in nonparametric weighted feature extraction (NWFE) is introduced to establish a novel FCM-like

clustering algorithm in this study. The real data experimental results show that the proposing FCWM outperforms the original FCM.

Number of references:9

Main heading:Feature extraction

Controlled terms:Clustering algorithms - Fuzzy clustering - Fuzzy rules - Fuzzy systems - Image analysis - Image classification - Remote sensing

Uncontrolled terms:Cluster centers - Clustering - Fuzzy C mean - Fuzzy c-mean (FCM) - Fuzzy c-means methods - Fuzzy membership - Hyperspectral image classification - Nonparametric weighted feature extraction (NWFE) - Nonparametric weighted feature extractions - Weighted mean

Classification code:961 Systems Science - 921.4 Combinatorial Mathematics, Includes Graph Theory, Set Theory - 903.1 Information Sources and Analysis - 751.1 Acoustic Waves - 741.1 Light/Optics - 741 Light, Optics and Optical Devices - 731.1 Control Systems - 723.5 Computer Applications - 723.4 Artificial Intelligence - 723.2 Data Processing and Image Processing - 723 Computer Software, Data Handling and Applications - 721 Computer Circuits and Logic Elements - 716 Telecommunication; Radar, Radio and Television DOI:10.1109/IGARSS.2008.4779166

Database:Compendex