Textural classification on remote sensing images
Borne F., Viennois G.. 2015. Illkirch Graffenstaden : CNRS; EGC, 1 poster. Ecole thémarique Fouille Collaborative Incrémentale de Masses de Données Multisources Multitemporelles : Application en Sciences de l'Environnement, 2015-06-28/2015-07-02, Illkirch Graffenstaden (France).
“PAPRI” semi - supervised method for the classification of remote sensing images combines colors spatial distribution quantization and colors fragmentation characterization. Because of this combination of spatial and statistic features, the method is more efficient than usual pixel - based approaches.
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Agents Cirad, auteurs de cette publication :
- Borne Frédéric — Bios / UMR AMAP
