Vegetation segmentation using oblique photogrammetry point clouds based on RSPT network

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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Bibliographic Details
Main Authors: Hong Hu, Zhangyu Sun, Ruihong Kang, Yanlan Wu, Baoguo Wang
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:International Journal of Digital Earth
Subjects:
Oblique photogrammetry
point cloud
self-attention
vegetation segmentation
RSPT
Online Access:https://www.tandfonline.com/doi/10.1080/17538947.2024.2310083

Internet

https://www.tandfonline.com/doi/10.1080/17538947.2024.2310083

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