Vegetation segmentation using oblique photogrammetry point clouds based on RSPT network

ABSTRACTVegetation segmentation via point cloud data can provide important information for urban planning and environmental protection. The point cloud dataset is obtained using light detection and ranging (LiDAR) or RGB-D images. Oblique photogrammetry has received little attention as another impor...

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Auteurs principaux:	Hong Hu, Zhangyu Sun, Ruihong Kang, Yanlan Wu, Baoguo Wang
Format:	Artigo
Langue:	Inglês
Publié:	Taylor & Francis Group 2024-12-01
Collection:	International Journal of Digital Earth
Sujets:	Oblique photogrammetry point cloud self-attention vegetation segmentation RSPT
Accès en ligne:	https://www.tandfonline.com/doi/10.1080/17538947.2024.2310083
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