Semisupervised kernel feature extraction for remote sensing image analysis

IEEE Transactions on Geoscience and Remote Sensing

Volumn 52, Issue 9, 2014, Pages 5567-5578

  Izquierdo Verdiguier, Emma ^a   Gomez Chova, Luis ^a   Bruzzone, Lorenzo ^b   Camps Valls, Gustavo ^a  

^a UNIVERSITY OF VALENCIA   (Spain)

^b UNIVERSITY OF TRENTO   (Italy)

Author keywords

Biophysical parameter estimation; classification; clustering; feature extraction; generative kernels; kernel methods; partial least squares (PLS); principal component analysis (PCA); semisupervised learning

Indexed keywords

BIOPHYSICS; CLASSIFICATION (OF INFORMATION); FEATURE EXTRACTION; IMAGE CLASSIFICATION; IMAGE RECONSTRUCTION; LEARNING ALGORITHMS; LEAST SQUARES APPROXIMATIONS; PRINCIPAL COMPONENT ANALYSIS;

BIOPHYSICAL PARAMETERS; CLUSTERING; GENERATIVE KERNELS; KERNEL METHODS; PARTIAL LEAST SQUARE (PLS); SEMI- SUPERVISED LEARNING;

PARAMETER ESTIMATION;

ACCURACY ASSESSMENT; ALGORITHM; DATA SET; ESTIMATION METHOD; LEAST SQUARES METHOD; NONLINEARITY; RADAR IMAGERY; REMOTE SENSING;

EID: 84900818206     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2013.2290372     Document Type: Article

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