Combining multiobjective fuzzy clustering and probabilistic ANN classifier for unsupervised pattern classification: Application to satellite image segmentation

2008 IEEE Congress on Evolutionary Computation, CEC 2008

Volumn , Issue , 2008, Pages 877-883

  Mukhopadhyay, Anirban ^a   Bandyopadhyay, Sanghamitra ^b   Maulik, Ujjwal ^c  

^a UNIVERSITY OF KALYANI   (India)

^b INDIAN STATISTICAL INSTITUTE   (India)

^c JADAVPUR UNIVERSITY   (India)

Author keywords

Ann classifier; Cluster validity measures; Fuzzy clustering; Multiobjective optimization; Pareto optimality; Remote sensing satellite imagery

Indexed keywords

BACKPROPAGATION; CLASSIFIERS; COMMUNICATION SATELLITES; FLOW OF SOLIDS; FUZZY NEURAL NETWORKS; FUZZY SETS; FUZZY SYSTEMS; IMAGE PROCESSING; IMAGE SEGMENTATION; LEARNING SYSTEMS; MILITARY SATELLITES; MULTIOBJECTIVE OPTIMIZATION; NEURAL NETWORKS; PROBABILITY; REMOTE SENSING; SATELLITE IMAGERY; SATELLITES; SPACE OPTICS;

ANN CLASSIFIER; ARTIFICIAL DATUMS; ARTIFICIAL NEURAL NETWORKS; CLUSTER VALIDITY MEASURES; CLUSTERING SCHEMES; HIGH CONFIDENCES; MULTIOBJECTIVE; NON-DOMINATED SOLUTIONS; PARETO-OPTIMALITY; PIXEL CLASSIFICATIONS; PROBABILISTIC CLASSIFIERS; REMOTE SENSING SATELLITE IMAGERY; REMOTE SENSING SATELLITES; SATELLITE IMAGES; SPECTRAL DOMAINS; TRAINED CLASSIFIERS; UNSUPERVISED PATTERN CLASSIFICATIONS;

FUZZY CLUSTERING;

EID: 55749114213     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2008.4630899     Document Type: Conference Paper

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