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

Internet

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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