Learning with transductive SVM for semisupervised pixel classification of remote sensing imagery

ISPRS Journal of Photogrammetry and Remote Sensing

Volumn 77, Issue , 2013, Pages 66-78

  Maulik, Ujjwal ^a   Chakraborty, Debasis ^b  

^a JADAVPUR UNIVERSITY   (India)

^b Murshidabad College of Engineering and Technology   (India)

Author keywords

Pixel classification; Quadratic programming; Remote sensing satellite images; Semisupervised classification; Support vector machines; Transductive learning

Indexed keywords

IMAGE CLASSIFICATION; IMAGE RECONSTRUCTION; IMAGE SEGMENTATION; PIXELS; QUADRATIC PROGRAMMING; REMOTE SENSING;

ACCURATE MAPPING; DATA SETS; IMAGE DATASETS; LABELED IMAGES; LAND COVER; LAND COVER CLASSIFICATION; LOW DENSITY; PIXEL CLASSIFICATION; REMOTE SENSING IMAGERY; REMOTE SENSING IMAGES; REMOTE SENSING SATELLITES; REMOTELY SENSED DATA; ROBUST CLASSIFICATION; SEGMENTATION QUALITY; SEMI-SUPERVISED; SEMI-SUPERVISED CLASSIFICATION; SUPERVISED CLASSIFIERS; TRAINING SAMPLE; TRANSDUCTIVE LEARNING; TRANSDUCTIVE SVM; UNLABELED DATA; UNLABELED SAMPLES; VISUAL INTERPRETATION;

SUPPORT VECTOR MACHINES;

ACCURACY ASSESSMENT; DATA SET; IMAGE CLASSIFICATION; IMAGERY; LAND COVER; MAPPING; PIXEL;

EID: 84873130855     PISSN: 09242716     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isprsjprs.2012.12.003     Document Type: Article

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