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SegVeg: Segmenting RGB Images into Green and Senescent Vegetation by Combining Deep and Shallow Methods

Pixel segmentation of high-resolution RGB images into chlorophyll-active or nonactive vegetation classes is a first step often required before estimating key traits of interest. We have developed the SegVeg approach for semantic segmentation of RGB images into three classes (background, green, and s...

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Detalles Bibliográficos
Autores principales:	Serouart, Mario, Madec, Simon, David, Etienne, Velumani, Kaaviya, Lopez Lozano, Raul, Weiss, Marie, Baret, Frédéric
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	AAAS 2022
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9680505/ https://www.ncbi.nlm.nih.gov/pubmed/36451876 http://dx.doi.org/10.34133/2022/9803570

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