A novel SOM-SVM-based active learning technique for remote sensing image classification

IEEE Transactions on Geoscience and Remote Sensing

Volumn 52, Issue 11, 2014, Pages 6899-6910

  Patra, Swarnajyoti ^a   Bruzzone, Lorenzo ^b  

^a TEZPUR UNIVERSITY   (India)

^b UNIVERSITY OF TRENTO   (Italy)

Author keywords

Active learning; hyperspectral imagery; multispectral imagery; remote sensing; self organizing map (SOM); support vector machine (SVM)

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); CONFORMAL MAPPING; IMAGE CLASSIFICATION; IMAGE RECONSTRUCTION; ITERATIVE METHODS; LEARNING ALGORITHMS; REMOTE SENSING; SELF ORGANIZING MAPS; SPECTROSCOPY; TOPOLOGY;

ACTIVE LEARNING; HYPER-SPECTRAL IMAGERIES; HYPERSPECTRAL REMOTE SENSING IMAGE; MULTI-SPECTRAL IMAGERY; REMOTE SENSING IMAGE CLASSIFICATION; SELF-ORGANIZING MAP NEURAL NETWORK; SOM NEURAL NETWORKS; TOPOLOGICAL PROPERTIES;

SUPPORT VECTOR MACHINES;

ARTIFICIAL NEURAL NETWORK; DATA SET; IMAGE CLASSIFICATION; IMAGERY; MAP;

EID: 84902106392     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2014.2305516     Document Type: Article

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