An SVM ensemble approach combining spectral, structural, and semantic features for the classification of high-resolution remotely sensed imagery

IEEE Transactions on Geoscience and Remote Sensing

Volumn 51, Issue 1, 2013, Pages 257-272

  Huang, Xin ^a   Zhang, Liangpei ^a  

^a WUHAN UNIVERSITY   (China)

Author keywords

Classification; feature extraction; high resolution; morphological; multifeature; object based; semantic; support vector machines (SVMs); WorldView 2

Indexed keywords

HIGH RESOLUTION; MORPHOLOGICAL; MULTIFEATURE; OBJECT BASED; WORLDVIEW-2;

ALGORITHMS; CLASSIFICATION (OF INFORMATION); EXPERIMENTS; FEATURE EXTRACTION; IMAGE REGISTRATION; SEMANTICS;

SUPPORT VECTOR MACHINES;

ALGORITHM; DATA SET; DIGITAL IMAGE; ENSEMBLE FORECASTING; IMAGE CLASSIFICATION; IMAGERY; NUMERICAL MODEL; PIXEL; PROBABILITY; REMOTE SENSING; SPECTRAL RESOLUTION;

EID: 84871748730     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2012.2202912     Document Type: Article

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