Automatic feature learning for spatio-spectral image classification with sparse SVM

IEEE Transactions on Geoscience and Remote Sensing

Volumn 52, Issue 10, 2014, Pages 6062-6074

  Tuia, Devis ^a   Volpi, Michele ^b   Mura, Mauro Dalla ^c   Rakotomamonjy, Alain ^d   Flamary, Rémi ^e  

^a EPFL   (Switzerland)

^b UNIVERSITY OF LAUSANNE   (Switzerland)

^c GIPSA LAB   (France)

^d UNIVERSITÉ DE ROUEN   (France)

^e UNIVERSITÉ DE NICE SOPHIA ANTIPOLIS   (France)

Author keywords

Attribute profiles; feature selection; hyperspectral; mathematical morphology; texture; very high resolution

Indexed keywords

FEATURE EXTRACTION; FILTER BANKS; IMAGE RECONSTRUCTION; MATHEMATICAL MORPHOLOGY; SPECTROSCOPY; TEXTURES;

ATTRIBUTE PROFILES; CLASSIFICATION PERFORMANCE; DISCRIMINATIVE FEATURES; HIGH SPATIAL RESOLUTION; HYPERSPECTRAL; REMOTE SENSING IMAGE CLASSIFICATION; VERY HIGH RESOLUTION; VERY-HIGH SPATIAL RESOLUTIONS;

IMAGE CLASSIFICATION;

FILTER; GENERALIST; IMAGE CLASSIFICATION; LINEARITY; MATHEMATICAL ANALYSIS; REMOTE SENSING; SPATIAL RESOLUTION;

EID: 84901820174     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2013.2294724     Document Type: Article

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