A novel approach to unsupervised change detection based on a semisupervised SVM and a similarity measure

IEEE Transactions on Geoscience and Remote Sensing

Volumn 46, Issue 7, 2008, Pages 2070-2082

  Bovolo, Francesca ^a,b   Bruzzone, Lorenzo ^a,b   Marconcini, Mattia ^a,b  

^a IEEE

^b UNIVERSITY OF TRENTO   (Italy)

Author keywords

Bayesian thresholding; Change vector analysis (CVA); Multispectral images; Multitemporal images; Remote sensing; Semisupervised support vector machine (S3VM); Unsupervised change detection

Indexed keywords

FEATURE EXTRACTION; IMAGE ENHANCEMENT; LEARNING SYSTEMS; REMOTE SENSING; SIGNAL DETECTION;

BAYESIAN; FEATURE SPACES; MULTI-SPECTRAL (MS); MULTITEMPORAL IMAGES; NOVE L APPROACH; SIMILARITY MEASURING; SPECTRAL CHANNELS; THRESHOLDING; TRAINING DATA; UNSUPERVISED CHANGE DETECTION;

SUPPORT VECTOR MACHINES;

EID: 45849126857     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2008.916643     Document Type: Article

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