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AUTOMATIC SEGMENTATION OF TREE CROWNS IN PINE FORESTS USING MASK R-CNN ON RGB IMAGERY FROM UAVS

This article presents the results of applying an improved method for automatic segmentation of RGB imagery (orthophotos) obtained using consumer-grade unmanned aerial vehicles (UAVs) based on the Mask R-CNN neural network. Preparation and post-processing blocks for raster and vector files were devel...

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Autor principal: А. D. Nikitina
Formato: Artigo
Idioma:Inglês
Publicado em: Russian Academy of Sciences, Center for Forest Ecology and Productivity 2024-09-01
coleção:Вопросы лесной науки
Assuntos:
mask r-cnn
automatic segmentation
tree detection
pine forest
rgb imagery
uavs
environmental monitoring
remote sensing
Acesso em linha:https://jfsi.ru/wp-content/uploads/2024/11/7-3-2024-Nikitina.pdf
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