Ground-truth assisted design for remote sensing image classification

@article{Pasolli2011GroundtruthAD,
  title={Ground-truth assisted design for remote sensing image classification},
  author={Edoardo Pasolli and Farid Melgani},
  journal={2011 IEEE International Geoscience and Remote Sensing Symposium},
  year={2011},
  pages={609-612}
}
In this work, we propose a framework to help in the design of the ground-truth for the classification of remote sensing images. It consists first to segment the considered image by means of a level set method and then to extract the segments characterized by the largest numbers of pixels. Afterward, the selected segments are labeled by a human user. Experimental results obtained on a very high resolution image show encouraging performances of the proposed framework. 

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