CONFERENCE PROCEEDINGS
Advanced Search
Home > Proceedings > Volume 12797 > Article
Paper
30 August 2023 Automatic measurement of transmission tower height based on PointNet++ and support vector regression
Qin Jun, Chen Junyu, Su Xiao, Zhang Minghui, Zhnag Zhaoliang
Author Affiliations +
Proceedings Volume 12797, Second International Conference on Geographic Information and Remote Sensing Technology (GIRST 2023); 127971R (2023) https://doi.org/10.1117/12.3007482
Event: 2nd International Conference on Geographic Information and Remote Sensing Technology (GIRST 2023), 2023, Qingdao, China
Abstract
In recent years, remote sensing, computer vision, and other methods have actively promoted the development of threedimensional (3D) reconstruction and automated measurement technologies for power grid systems. Currently, parameters such as tower height heavily rely on manual measurements, which suffer from drawbacks such as low efficiency. To address this, an automated method leveraging 3D point cloud technology for measuring transmission tower height is proposed. Firstly, the application of the PointNet++ model for segmenting 3D point clouds in transmission corridors is introduced, where the point clouds are classified into four categories: transmission lines, towers, ground, and ground wires. Subsequently, using the automatically extracted point cloud data of power towers and ground after semantic segmentation, along with relevant indicators, a prediction model for transmission tower height is constructed based on Support Vector Regression (SVR). Finally, the model is tested on a collection of 3D point cloud samples from transmission corridors. Experimental results demonstrate that the proposed automated method for calculating tower heights achieves a Mean Absolute Percentage Error (MAPE) of 5.86% and enables accurate estimation of transmission tower heights.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Citation Download Citation
Qin Jun, Chen Junyu, Su Xiao, Zhang Minghui, and Zhnag Zhaoliang "Automatic measurement of transmission tower height based on PointNet++ and support vector regression", Proc. SPIE 12797, Second International Conference on Geographic Information and Remote Sensing Technology (GIRST 2023), 127971R (30 August 2023); https://doi.org/10.1117/12.3007482
ACCESS THE FULL ARTICLE
ORGANIZATIONAL
Sign in with credentials provided by your organization.
INSTITUTIONAL
Select your institution to access the SPIE Digital Library.
SELECT YOUR INSTITUTION
PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
PERSONAL SIGN IN
No SPIE Account? Create one
;
PURCHASE THIS CONTENT
SUBSCRIBE TO DIGITAL LIBRARY
50 downloads per 1-year subscription
Members: $195
Non-members: $335 ADD TO CART
25 downloads per 1 - year subscription
Members: $145
Non-members: $250 ADD TO CART
PURCHASE SINGLE ARTICLE
Includes PDF, HTML & Video, when available
Members: $17.00
Non-members: $21.00 ADD TO CART
PROCEEDINGS
 7 PAGES
DOWNLOAD PAPER SAVE TO MY LIBRARY
GET CITATION
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Point clouds
3D modeling
Data modeling
Data transmission
Image segmentation
Semantics
Deep learning
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top