VOXEL-BASED EXTRACTION OF INDIVIDUAL PYLONS AND WIRES FROM LIDAR POINT CLOUD DATA

6 citations as recorded by crossref.

1. An Automatic Method for Powerline Extraction From ALS Point Cloud of Powerline Corridors D. Cao et al. https://doi.org/10.1109/JSTARS.2025.3555534
2. Feature Selection for Airbone LiDAR Point Cloud Classification M. Kuprowski & P. Drozda https://doi.org/10.3390/rs15030561
3. Classification Model of Point Cloud Along Transmission Line Based on Group Normalization Z. Yin et al. https://doi.org/10.3389/fenrg.2022.839273
4. An Iterative Graph-Based Method for Constructing Gaps in High-Voltage Bundle Conductors Using Airborne LiDAR Point Cloud Data N. Munir et al. https://doi.org/10.1109/TGRS.2023.3341970
5. Advances in Remote Sensing and Artificial Intelligence for Vegetation Monitoring in Power Line Corridors: A review and future directions A. Savva et al. https://doi.org/10.1109/MGRS.2025.3558741
6. A GCN-Based Method for Extracting Power Lines and Pylons From Airborne LiDAR Data W. Li et al. https://doi.org/10.1109/TGRS.2021.3076107