Semisupervised Remote Sensing Image Classification With Cluster Kernels

@article{Tuia2009SemisupervisedRS,
  title={Semisupervised Remote Sensing Image Classification With Cluster Kernels},
  author={Devis Tuia and Gustavo Camps-Valls},
  journal={IEEE Geoscience and Remote Sensing Letters},
  year={2009},
  volume={6},
  pages={224-228}
}
A semisupervised support vector machine is presented for the classification of remote sensing images. The method exploits the wealth of unlabeled samples for regularizing the training kernel representation locally by means of cluster kernels. The method learns a suitable kernel directly from the image and thus avoids assuming a priori signal relations by using a predefined kernel structure. Good results are obtained in image classification examples when few labeled samples are available. The… CONTINUE READING
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