A novel approach to targeted land-cover classification of remote-sensing images

  title={A novel approach to targeted land-cover classification of remote-sensing images},
  author={Mattia Marconcini and Diego Fern{\'a}ndez-Prieto},
  journal={2012 IEEE International Geoscience and Remote Sensing Symposium},
In several real-world applications the objective of landcover classification is actually limited to map one or few specific “targeted” land-cover classes over a certain area. In such cases, ground truth is generally available for the only land-cover classes of interest, which limits (or hinders) the possibility of successfully employing standard supervised approaches that require an exhaustive ground truth for all the land-cover classes characterizing the investigated area. In this paper, we… CONTINUE READING


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