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...

Descripción completa

Guardado en:
Detalles Bibliográficos
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
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
Sea el primero en dejar un comentario!
Primero debe ingresar al sistema

Ejemplares similares