Crop mapping by supervised classification of high resolution optical image time series using prior knowledge about crop rotation and topography

@article{Osman2013CropMB,
  title={Crop mapping by supervised classification of high resolution optical image time series using prior knowledge about crop rotation and topography},
  author={Julien Osman and Jordi Inglada and Jean-Francois Dejoux and Olivier Hagolle and G{\'e}rard Dedieu},
  journal={2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS},
  year={2013},
  pages={2832-2835}
}
The generation of land-cover maps for agriculture is a recurrent problem in remote sensing. There exist many efficient algorithms, but they often need well selected images during specific periods, which delays the map availability to the end of the season. In this work, we propose to introduce prior knowledge about crop rotation and topography in order to… CONTINUE READING