Semisupervised classification of remote sensing images with hierarchical spatial similarity

IEEE Geoscience and Remote Sensing Letters

Volumn 12, Issue 1, 2015, Pages 150-154

  Huo, Lian Zhi ^a   Tang, Ping ^a   Zhang, Zheng ^a   Tuia, Devis ^b  

^a INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^b EPFL   (Switzerland)

Author keywords

Image classification; image segmentation; kernel methods; support vector machines (SVMs)

Indexed keywords

IMAGE RECONSTRUCTION; IMAGE SEGMENTATION; SUPPORT VECTOR MACHINES;

CLASSIFICATION ACCURACY; DEFORMATION FUNCTION; KERNEL METHODS; REMOTE SENSING IMAGES; SEMI-SUPERVISED CLASSIFICATION; SEMI-SUPERVISED METHOD; SIMILARITY FUNCTIONS; SUPPORT VECTOR MACHINE (SVMS);

IMAGE CLASSIFICATION;

EID: 84906780083     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2014.2329713     Document Type: Article

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