A novel context-sensitive semisupervised SVM classifier robust to mislabeled rraining samples

IEEE Transactions on Geoscience and Remote Sensing

Volumn 47, Issue 7, 2009, Pages 2142-2154

  Bruzzone, Lorenzo ^a   Persello, Claudio ^a  

^a UNIVERSITY OF TRENTO   (Italy)

Author keywords

Context sensitive classification; Image classification; Mislabeled training patterns; Noisy training set; Remote sensing; Semisupervised classification; Support vector machines (SVMs)

Indexed keywords

CLASSIFICATION ALGORITHM; CONTEXT-SENSITIVE; CONTEXT-SENSITIVE CLASSIFICATION; CONTEXTUAL INFORMATION; DIFFERENT DISTRIBUTIONS; EXPERIMENTAL ANALYSIS; K-NEAREST NEIGHBORS; LEARNING PHASE; MISLABELED TRAINING PATTERNS; NEIGHBORHOOD SYSTEMS; NOISY TRAINING SET; REAL APPLICATIONS; RESOLUTION IMAGES; SEMI-SUPERVISED; SEMISUPERVISED CLASSIFICATION; SVM CLASSIFIERS; TRAINING PATTERNS; TRAINING SAMPLE; TRAINING SETS; VERY HIGH RESOLUTION IMAGE;

CLASSIFIERS; GEARS; IMAGE ANALYSIS; IMAGE CLASSIFICATION; IMAGE RETRIEVAL; LABELS; MAXIMUM LIKELIHOOD ESTIMATION; MULTILAYER NEURAL NETWORKS; REMOTE SENSING; SET THEORY; VECTORS;

SUPPORT VECTOR MACHINES;

CLASSIFICATION; COST-BENEFIT ANALYSIS; EXPERIMENTAL STUDY; IMAGE CLASSIFICATION; IMAGE RESOLUTION; MACHINERY; REMOTE SENSING; SPATIAL DISTRIBUTION; VECTOR;

EID: 67651166635     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2008.2011983     Document Type: Article

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