A new multivariate statistical model for change detection in images acquired by homogeneous and heterogeneous sensors

IEEE Transactions on Image Processing

Volumn 24, Issue 3, 2015, Pages 799-812

  Prendes, Jorge ^a   Chabert, Marie ^b   Pascal, Frédéric ^c   Giros, Alain ^d   Tourneret, Jean Yves ^b  

^a TeSA Cooperative Research Laboratory   (France)

^b UNIVERSITÉ DE TOULOUSE   (France)

^c SUPELEC   (France)

^d CNES   (France)

Author keywords

change detection; EM algorithm; manifold learning; mixture models; Optical images; SAR images

Indexed keywords

ALGORITHMS; DISASTERS; GEOMETRICAL OPTICS; IMAGE RECONSTRUCTION; RADAR; REMOTE SENSING; SIGNAL DETECTION; SYNTHETIC APERTURE RADAR;

CHANGE DETECTION; EM ALGORITHMS; MANIFOLD LEARNING; MIXTURE MODEL; OPTICAL IMAGE; SAR IMAGES;

MULTIVARIANT ANALYSIS;

EID: 84921735252     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2014.2387013     Document Type: Article

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