A novel semisupervised SVM for pixel classification of remote sensing imagery

International Journal of Machine Learning and Cybernetics

Volumn 3, Issue 3, 2012, Pages 247-258

  Maulik, Ujjwal ^a   Chakraborty, Debasis ^b  

^a JADAVPUR UNIVERSITY   (India)

^b Murshidabad College of Engineering and Technology   (India)

Author keywords

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

Indexed keywords

ACCURACY LEVEL; CLUSTER VALIDITY INDICES; DATA SETS; DYNAMIC THRESHOLDING; F-MEASURE; FEATURE VECTORS; HIGH DIMENSIONAL SPACES; IMAGE DATA; LABELED DATA; LAND COVER; LEARNING SCHEMES; PIXEL CLASSIFICATION; REMOTE SENSING IMAGERY; REMOTE SENSING SATELLITES; SEMI-SUPERVISED; SEMI-SUPERVISED CLASSIFICATION; SEPARATING HYPERPLANE; SUPPORT VECTOR MACHINE CLASSIFICATION TECHNIQUES; UNLABELED SAMPLES;

GEOMETRY; IMAGE RECONSTRUCTION; PIXELS; QUADRATIC PROGRAMMING; REMOTE SENSING;

SUPPORT VECTOR MACHINES;

EID: 84865766722     PISSN: 18688071     EISSN: 1868808X     Source Type: Journal    
DOI: 10.1007/s13042-011-0059-3     Document Type: Article

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