Gabor Feature Based Unsupervised Change Detection of Multitemporal SAR Images Based on Two-Level Clustering

IEEE Geoscience and Remote Sensing Letters

Volumn 12, Issue 12, 2015, Pages 2458-2462

  Li, Heng Chao ^a,b   Celik, Turgay ^c   Longbotham, Nathan ^d   Emery, William J ^b  

^a SOUTHWEST JIAOTONG UNIVERSITY   (China)

^b UCB 450   (United States)

^c UNIVERSITY OF THE WITWATERSRAND   (South Africa)

^d DigitalGlobe Inc   (United States)

Author keywords

Clustering algorithms; Feature extraction; Kernel; Remote sensing; Synthetic aperture radar; Transforms; Yttrium

Indexed keywords

FACE RECOGNITION; FEATURE EXTRACTION; RADAR IMAGING; SIGNAL DETECTION; SYNTHETIC APERTURE RADAR;

CONTEXTUAL INFORMATION; DISCRIMINATIVE FEATURES; FUZZY C MEANS CLUSTERING; GABOR WAVELET REPRESENTATION; MULTI-TEMPORAL SAR IMAGES; MULTITEMPORAL SYNTHETIC APERTURE RADAR IMAGES; NEAREST NEIGHBOR RULE; UNSUPERVISED CHANGE DETECTION;

CLUSTERING ALGORITHMS;

EID: 84947869494     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2015.2484220     Document Type: Article

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