Power Line Extraction and Tree Risk Detection Based on Airborne LiDAR
Transmission lines are the basis of human production and activities. In order to ensure their safe operation, it is essential to regularly conduct transmission line inspections and identify tree risk in a timely manner. In this paper, a power line extraction and tree risk detection method is propose...
Main Authors: | Siyuan Xi, Zhaojiang Zhang, Yufen Niu, Huirong Li, Qiang Zhang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-10-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/23/19/8233 |
Similar Items
-
DCPLD-Net: A diffusion coupled convolution neural network for real-time power transmission lines detection from UAV-Borne LiDAR data
by: Chi Chen, et al.
Published: (2022-08-01) -
Automatic Registration of Optical Images with Airborne LiDAR Point Cloud in Urban Scenes Based on Line-Point Similarity Invariant and Extended Collinearity Equations
by: Shubiao Peng, et al.
Published: (2019-03-01) -
Extraction of Roof Feature Lines Based on Geometric Constraints from Airborne LiDAR Data
by: Zhan Cai, et al.
Published: (2023-11-01) -
Geometric Primitives in LiDAR Point Clouds: A Review
by: Shaobo Xia, et al.
Published: (2020-01-01) -
A Novel Method of Autonomous Inspection for Transmission Line based on Cable Inspection Robot LiDAR Data
by: Xinyan Qin, et al.
Published: (2018-02-01)