Spatio-Spectral Remote Sensing Image Classification With Graph Kernels

@article{CampsValls2010SpatioSpectralRS,
  title={Spatio-Spectral Remote Sensing Image Classification With Graph Kernels},
  author={Gustavo Camps-Valls and Nino Shervashidze and Karsten M. Borgwardt},
  journal={IEEE Geoscience and Remote Sensing Letters},
  year={2010},
  volume={7},
  pages={741-745}
}
This letter presents a graph kernel for spatio-spectral remote sensing image classification with support vector machines (SVMs). The method considers higher order relations in the neighborhood (beyond pairwise spatial relations) to iteratively compute a kernel matrix for SVM learning. The proposed kernel is easy to compute and constitutes a powerful alternative to existing approaches. The capabilities of the method are illustrated in several multi- and hyperspectral remote sensing images… CONTINUE READING
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