Semi-supervising Interval Type-2 Fuzzy C-Means clustering with spatial information for multi-spectral satellite image classification and change detection

Computers and Geosciences

Volumn 83, Issue , 2015, Pages 1-16

  Ngo, Long Thanh ^a   Mai, Dinh Sinh ^a   Pedrycz, Witold ^b,c,d  

^a LE QUY DON TECHNICAL UNIVERSITY   (Viet Nam)

^b UNIVERSITY OF ALBERTA   (Canada)

^c KING ABDULAZIZ UNIVERSITY   (Saudi Arabia)

^d SYSTEMS RESEARCH INSTITUTE   (Poland)

Author keywords

Change detection; Fuzzy C Means; Interval type 2 fuzzy sets; Land cover classification; Satellite image analysis; Type 2 fuzzy clustering

Indexed keywords

ALGORITHMS; CLASSIFICATION (OF INFORMATION); COPYING; FUZZY CLUSTERING; FUZZY SYSTEMS; IMAGE ANALYSIS; IMAGE CLASSIFICATION; IMAGE SEGMENTATION; INFORMATION MANAGEMENT; INFORMATION USE; NATURAL RESOURCES MANAGEMENT; SATELLITE IMAGERY; SATELLITES; SIGNAL DETECTION; UNCERTAINTY ANALYSIS;

CHANGE DETECTION; FUZZY C MEAN; INTERVAL TYPE-2 FUZZY SETS; LAND COVER CLASSIFICATION; SATELLITE IMAGE ANALYSIS;

CLUSTERING ALGORITHMS;

ALGORITHM; CLUSTER ANALYSIS; FUZZY MATHEMATICS; IMAGE ANALYSIS; IMAGE CLASSIFICATION; LAND COVER; SATELLITE IMAGERY; SPATIAL ANALYSIS; SPECTRAL ANALYSIS;

EID: 84947255185     PISSN: 00983004     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cageo.2015.06.011     Document Type: Article

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