Definition of effective training sets for supervised classification of remote sensing images by a novel cost-sensitive active learning method

IEEE Transactions on Geoscience and Remote Sensing

Volumn 52, Issue 2, 2014, Pages 1272-1284

  Demir, Begum ^a   Minello, Luca ^a   Bruzzone, Lorenzo ^a  

^a UNIVERSITY OF TRENTO   (Italy)

Author keywords

Active learning (AL); automatic classification; genetic algorithm (GA); ground data collection; remote sensing; sequential forward selection (SFS); training set

Indexed keywords

ACTIVE LEARNING; AUTOMATIC CLASSIFICATION; GROUND DATA; SEQUENTIAL FORWARD SELECTION; TRAINING SETS;

GENETIC ALGORITHMS; IMAGE RECONSTRUCTION; LEARNING SYSTEMS; OPTIMIZATION; REMOTE SENSING;

COSTS;

ALGORITHM; AUTOMATION; COST-BENEFIT ANALYSIS; DATA SET; EXPERIMENTAL STUDY; IMAGE CLASSIFICATION; OPTIMIZATION; REMOTE SENSING; UNCERTAINTY ANALYSIS;

EID: 84890989678     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2013.2249522     Document Type: Article

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