Pattern retrieval in large image databases using multiscale coarse-to-fine cascaded active learning

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Volumn 7, Issue 4, 2014, Pages 1127-1141

  Blanchart, Pierre ^a   Ferecatu, Marin ^b   Cui, Shiyong ^c   Datcu, Mihai ^a  

^a TELECOM PARISTECH   (France)

^b Bioinformatique et Chimie Moléculaire   (France)

^c GERMAN AEROSPACE CENTER DLR   (Germany)

Author keywords

Active learning; coarse to fine testing; multiple instance learning (MIL); pattern retrieval; support vector machines (SVMs)

Indexed keywords

DATABASE SYSTEMS; LEARNING ALGORITHMS; SUPPORT VECTOR MACHINES; SYNTHETIC APERTURE RADAR;

ACTIVE LEARNING; COARSE-TO-FINE; MULTIPLE-INSTANCE LEARNING; PATTERN RETRIEVAL; SUPPORT VECTOR MACHINE (SVMS);

CLASSIFICATION (OF INFORMATION);

ALGORITHM; ARTIFICIAL INTELLIGENCE; DATABASE; IMAGE ANALYSIS; PANCHROMATIC IMAGE; QUICKBIRD; SATELLITE IMAGERY; SYNTHETIC APERTURE RADAR;

EID: 84899968152     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2014.2302333     Document Type: Article

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