Noise Point Detection From Airborne LiDAR Point Cloud Based on Spatial Hierarchical Directional Relationship

Noise Point Detection From Airborne LiDAR Point Cloud Based on Spatial Hierarchical Directional Relationship

In three-dimensional (3D) airborne light detection and ranging (LiDAR) point-cloud data acquisition, noise point clusters (such as cloud, birds and incomplete scanning ground points) and isolated points are usually generated in the scanning process. Detection and elimination of these noise points di...

Full description

Bibliographic Details
Main Authors: Yunhao Lin, Yanjun Wang, Shuhan Wang, Shaochun Li, Mengjie Wang, Hengfan Cai, Fei Teng
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Airborne LiDAR
aerial laser scanning
point cloud noise
noise detection
hierarchical direction
region growing
Online Access:https://ieeexplore.ieee.org/document/9849659/

Internet

https://ieeexplore.ieee.org/document/9849659/

Similar Items