Apport de la segmentation d'image hyperspectrale à la précision de la classification en milieu agricole: Analyse multi-échelles

Yannick Lanthier
The conventional pixel-oriented classification is the most commonly used approach in remote sensing for land use product extraction. The object-oriented classification based on image segmentation is an alternative, which uses pixel context, texture and shapes, in addition to their spectral characteristics. This paper reports on a comparative study between supervised pixel-oriented and object-oriented classifications in a precision agriculture context using three hyperspectral images on our first study site, and a set of hyperspectral and multispectral...
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