Is there a preferred classifier for operational thematic mapping?

IEEE Transactions on Geoscience and Remote Sensing

Volumn 52, Issue 5, 2014, Pages 2715-2725

  Richards, John A ^a   Kingsbury, Nick G ^b  

^a AUSTRALIAN NATIONAL UNIVERSITY   (Australia)

^b UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

Classification; maximum likelihood classifier (MLC); neural network; support vector machine (SVM); thematic mapping

Indexed keywords

CLASSIFICATION (OF INFORMATION); MAPPING; NEURAL NETWORKS;

CLASS SEPARATION; CLASSIFICATION METHODOLOGIES; GEOMETRIC CHARACTERISTICS; MAXIMUM LIKELIHOOD APPROACHES; MAXIMUM LIKELIHOOD CLASSIFIERS; NEAR-OPTIMAL PERFORMANCE; SPECTRAL DOMAINS; THEMATIC MAPPING;

SUPPORT VECTOR MACHINES;

CLASSIFICATION; DATA SET; OPERATIONS TECHNOLOGY; SEGMENTATION; THEMATIC MAPPING;

EID: 84896318609     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2013.2264831     Document Type: Article

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