3 papers
cs.CV2025
FID-Net: A Feature-Enhanced Deep Learning Network for Forest Infestation Detection
Yan Zhang, Baoxin Li, Han Sun +3
Forest pests threaten ecosystem stability, requiring efficient monitoring. To overcome the limitations of traditional methods in large-scale, fine-grained detection, this study foc…
cs.CV2024
Automatic marker-free registration based on similar tetrahedras for single-tree point clouds
Jing Ren, Pei Wang, Hanlong Li +5
In recent years, terrestrial laser scanning technology has been widely used to collect tree point cloud data, aiding in measurements of diameter at breast height, biomass, and othe…
cs.CV2024
WLC-Net: a robust and fast deep-learning wood-leaf classification method
Hanlong Li, Pei Wang, Yuhan Wu +5
Wood-leaf classification is an essential and fundamental prerequisite in the analysis and estimation of forest attributes from terrestrial laser scanning (TLS) point clouds,includi…