Comparison of RBF-ANN, LIBSVM and DOCKSVM classifiers for land cover classification using satellite image

  • Lijun Zhaoa, Jiakui Tanga, Xinju Yua, Ling Pengc
  • Published 2015

Abstract

A sufficient comparison of three advanced classifiers, radial basis function artificial neural network (RBF-ANN), popular support vector machine (SVM) tool of LIBSVM and data oriented composite kernel based support vector machine (DOCKSVM) for land cover classification was carried out. In the experiment, using the same satellite SPOT-5 HRG image and… (More)

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Cite this paper

@inproceedings{Zhaoa2015ComparisonOR, title={Comparison of RBF-ANN, LIBSVM and DOCKSVM classifiers for land cover classification using satellite image}, author={Lijun Zhaoa and Jiakui Tanga and Xinju Yua and Ling Pengc}, year={2015} }