Multiple support vector machines for land cover change detection: An application for mapping urban extensions

@inproceedings{Nemmour2006MultipleSV,
  title={Multiple support vector machines for land cover change detection: An application for mapping urban extensions},
  author={Hassiba Nemmour and Youcef Chibani},
  year={2006}
}
The reliability of support vector machines for classifying hyper-spectral images of remote sensing has been proven in various studies. In this paper, we investigate their applicability for land cover change detection. First, SVM-based change detection is presented and performed for mapping urban growth in the Algerian capital. Different performance indicators, as well as a comparison with artificial neural networks, are used to support our experimental analysis. In a second step, a combination… CONTINUE READING
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