Hyperspectral remote sensing image classification based on the integration of support vector machine and random forest

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn , Issue , 2012, Pages 174-177

  Du, Peijun ^a,c   Xia, Junshi ^b,c   Chanussot, Jocelyn ^b   He, Xiyan ^b  

^a NANJING UNIVERSITY   (China)

^b GIPSA LAB   (France)

^c CHINA UNIVERSITY OF MINING AND TECHNOLOGY   (China)

Author keywords

Classifier ensemble; Hyperspectral Remote Sensing Image; Random Forest; SVM

Indexed keywords

CLASSIFIER ENSEMBLES; HYPER-SPECTRAL IMAGES; HYPERSPECTRAL REMOTE SENSING; HYPERSPECTRAL REMOTE SENSING IMAGE; INTEGRATION APPROACH; RANDOM FORESTS; SVM;

DECISION TREES; GEOLOGY; IMAGE CLASSIFICATION; IMAGE RECONSTRUCTION; REMOTE SENSING; SPECTROSCOPY;

SUPPORT VECTOR MACHINES;

EID: 84873167100     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2012.6351609     Document Type: Conference Paper

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