Power-Line Extraction and Modelling from 3D Point Clouds Data Based on K-D Tree DBSCAN Algorithm
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering
Link
https://link.springer.com/content/pdf/10.1007/s42835-023-01641-6.pdf
Reference20 articles.
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2. Ma W (2021) Research on key technologies of transmission line inspection form ALS point cloud. Yunnan Normal University, Kunming, China. https://doi.org/10.27459/d.cnki.gynfc.2021.001524
3. Sánchez-Rodríguez A, Soilán M, Cabaleiro M et al (2019) Automated inspection of railway tunnels’ power line using LiDAR point clouds. Remote Sens 11(21):2072–4292. https://doi.org/10.3390/rs11212567
4. Xu S, Wang R (2019) Power line extraction from mobile LiDAR point clouds. IEEE J Sel Top Appl Earth Obs Remote Sens 12(2):734–743. https://doi.org/10.1109/JSTARS.2019.2893967
5. Jung J, Che E, Olsen MJ et al (2020) Automated and efficient powerline extraction from laser scanning data using a voxel-based subsampling with hierarchical approach. ISPRS J Photogram Remote Sens 163(C):343–361. https://doi.org/10.1016/j.isprsjprs.2020.03.018
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1. A review and future directions of techniques for extracting powerlines and pylons from LiDAR point clouds;International Journal of Applied Earth Observation and Geoinformation;2024-08
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