Combining transductive and active learning to improve object-based classification of remote sensing images

Remote Sensing Letters

Volumn 7, Issue 4, 2016, Pages 358-367

  Güttler, Fabio N ^a,b   Ienco, Dino ^b   Poncelet, Pascal ^c   Teisseire, Maguelonne ^b  

^a UNIVERSITÉ DE STRASBOURG   (France)

^b UMR TETIS   (France)

^c UNIV MONTPELLIER   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); GRAPHIC METHODS; IMAGE RECONSTRUCTION; REMOTE SENSING;

CLASSIFICATION METHODS; EXPERIMENTAL EVALUATION; LABEL PROPAGATION; LAND COVER CLASSIFICATION; LEARNING SETTINGS; OBJECT-BASED CLASSIFICATIONS; SATELLITE IMAGES; TRANSDUCTIVE LEARNING;

IMAGE CLASSIFICATION;

IMAGE CLASSIFICATION; INFORMATION; LAND COVER; LEARNING; RAPIDEYE; REMOTE SENSING; SATELLITE IMAGERY; TRAINING;

EID: 84964534052     PISSN: 2150704X     EISSN: 21507058     Source Type: Journal    
DOI: 10.1080/2150704X.2016.1142678     Document Type: Article

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