Convolutional Neural Networks enable efficient, accurate and fine-grained segmentation of plant species and communities from high-resolution UAV imagery

Recent technological advances in remote sensing sensors and platforms, such as high-resolution satellite imagers or unmanned aerial vehicles (UAV), facilitate the availability of fine-grained earth observation data. Such data reveal vegetation canopies in high spatial detail. Efficient methods are n...

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Detalles Bibliográficos
Autores principales: Kattenborn, Teja, Eichel, Jana, Fassnacht, Fabian Ewald
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6881311/
https://www.ncbi.nlm.nih.gov/pubmed/31776370
http://dx.doi.org/10.1038/s41598-019-53797-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6881311/
https://www.ncbi.nlm.nih.gov/pubmed/31776370
http://dx.doi.org/10.1038/s41598-019-53797-9

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