Automatic Vectorization of Power Lines from Airborne Lidar Point Clouds

Abstract. In recent years, power line inspections have benefited from the use of the lidar surveying technology, which enables safe and rapid data acquisition, even in challenging environments. To further optimize monitoring operations and reduce time and costs, automatic processing of the point clouds obtained is of greatest importance. This work presents a complete pipeline for processing power line data that includes (i) lidar point cloud segmentation using a Fully Convolutional Network, (ii) individual pylon identification via DBSCAN clustering, and (iii) the automatic extraction and modelling of any number of cables using a multi-model fitting algorithm based on the J-Linkage method. The proposed procedure is tested on a 36 km-long power line, resulting in a F1-score of 97.6% for pylons and 98.5% for the vectorized cables.

Location
Deutsche Nationalbibliothek Frankfurt am Main
Extent
Online-Ressource
Language
Englisch

Bibliographic citation
Automatic Vectorization of Power Lines from Airborne Lidar Point Clouds ; volume:XLVIII-2-2024 ; year:2024 ; pages:225-231 ; extent:7
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ; XLVIII-2-2024 (2024), 225-231 (gesamt 7)

Creator
Maset, Eleonora
Fusiello, Andrea

DOI
10.5194/isprs-archives-XLVIII-2-2024-225-2024
URN
urn:nbn:de:101:1-2408051411153.594418601439
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
14.08.2025, 10:47 AM CEST

Data provider

This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.

Associated

  • Maset, Eleonora
  • Fusiello, Andrea

Other Objects (12)