Multiple classifier combination for crop types phenology based mapping

@article{Elmansouri2017MultipleCC,
  title={Multiple classifier combination for crop types phenology based mapping},
  author={Loubna Elmansouri},
  journal={2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)},
  year={2017},
  pages={1-6}
}
Currently in Morocco, crop plantation information is mostly collected by three ways: (1) farmer communications, (2) spatially limited land survey and (3) manually photo-interpretation of a newly registered digital image. These procedures provide limited and subjective information with unguaranteed consistency. Land survey could map accurately crop types but it's too time, high cost and labor-intensive which limits its use as a periodic process to monitor crop changes. Remote sensing imagery is… CONTINUE READING
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