An approach for classifying large scale images

@article{Pasolli2012AnAF,
  title={An approach for classifying large scale images},
  author={Edoardo Pasolli and Farid Melgani},
  journal={2012 IEEE International Geoscience and Remote Sensing Symposium},
  year={2012},
  pages={5410-5413}
}
In the remote sensing field, classification of images at large scale represents a very important problem. Most of the proposed classification strategies are based on supervised methods, which can give excellent performances, but depend strongly on the training samples used to construct the classification model. In particular, they can fail if such samples are not representative of the distributions associated with the classes. This problem is critical in a large scale scenario, in which the… CONTINUE READING