Individual tree species classification using low-density airborne multispectral LiDAR data via attribute-aware cross-branch transformer
Traditional forest inventory supplies essential data for forest monitoring and management,
including tree species, but obtaining individual tree-level information is increasingly crucial …
including tree species, but obtaining individual tree-level information is increasingly crucial …
Semantic Segmentation of Airborne LiDAR Point Clouds with Noisy Labels
High-quality point cloud annotation is labor-intensive and time-consuming, but it serves as a
critical factor driving the success of LiDAR point cloud semantic segmentation. Leveraging …
critical factor driving the success of LiDAR point cloud semantic segmentation. Leveraging …
SCSQ-Net: A shared kernel point convolution semantic query network for weakly supervised classification of multispectral LiDAR point clouds
Multispectral LiDAR (MS-LiDAR) point cloud classification holds great potential, but current
methods rely heavily on fully supervised learning, requiring costly manual labeling. To …
methods rely heavily on fully supervised learning, requiring costly manual labeling. To …
DIVESPOT: Depth Integrated Volume Estimation of Pile of Things Based on Point Cloud
Y Ling, R Zhao, Y Shen, D Li, J **, J Liu - arxiv preprint arxiv:2407.05415, 2024 - arxiv.org
Non-contact volume estimation of pile-type objects has considerable potential in industrial
scenarios, including grain, coal, mining, and stone materials. However, using existing …
scenarios, including grain, coal, mining, and stone materials. However, using existing …