Change detection in synthetic aperture radar images based on image fusion and fuzzy clustering

IEEE Transactions on Image Processing

Volumn 21, Issue 4, 2012, Pages 2141-2151

  Gong, Maoguo ^a   Zhou, Zhiqiang ^a   Ma, Jingjing ^a  

^a XIDIAN UNIVERSITY   (China)

Author keywords

Clustering; fuzzy C means (FCM) algorithm; image change detection; image fusion; synthetic aperture radar (SAR)

Indexed keywords

AVERAGE OPERATOR; BACKGROUND INFORMATION; C-MEANS CLUSTERING ALGORITHM; CHANGE DETECTION; CLUSTERING; DIFFERENCE IMAGES; DISTRIBUTION-FREE; FUSION STRATEGIES; FUZZY C-MEANS ALGORITHMS; HIGH FREQUENCY BANDS; IMAGE CHANGE DETECTION; IMAGE FUSION TECHNIQUES; IMPROVED FUZZY CLUSTERING; LOG-RATIO IMAGES; LOW FREQUENCY BAND; SAR IMAGES; SPATIAL CONTEXT; SPECKLE NOISE; SYNTHETIC APERTURE RADAR (SAR); SYNTHETIC APERTURE RADAR (SAR) IMAGES; WAVELET COEFFICIENTS; WAVELET FUSION;

CLUSTERING ALGORITHMS; FREQUENCY BANDS; FUZZY CLUSTERING; IMAGE FUSION; SIGNAL DETECTION;

SYNTHETIC APERTURE RADAR;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; FUZZY LOGIC; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; TELECOMMUNICATION; THREE DIMENSIONAL IMAGING;

ALGORITHMS; FUZZY LOGIC; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; PATTERN RECOGNITION, AUTOMATED; RADAR; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 84859060840     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2011.2170702     Document Type: Article

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