Mauritia flexuosa palm trees airborne mapping with deep convolutional neural network

Mauritia flexuosa palm trees airborne mapping with deep convolutional neural network

Abstract Accurately mapping individual tree species in densely forested environments is crucial to forest inventory. When considering only RGB images, this is a challenging task for many automatic photogrammetry processes. The main reason for that is the spectral similarity between species in RGB sc...

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Autores principales: Luciene Sales Dagher Arce, Lucas Prado Osco, Mauro dos Santos de Arruda, Danielle Elis Garcia Furuya, Ana Paula Marques Ramos, Camila Aoki, Arnildo Pott, Sarah Fatholahi, Jonathan Li, Fábio Fernando de Araújo, Wesley Nunes Gonçalves, José Marcato Junior
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
Medicine
R
Science
Q
Acceso en línea:https://doaj.org/article/8dec4f8d90b64f1498485e3188e1019e
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https://doaj.org/article/8dec4f8d90b64f1498485e3188e1019e

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