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

7 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
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3. Linear feature enhanced point cloud generation and extraction via photogrammetry and deep learning J. Cho & B. Lee https://doi.org/10.1016/j.kscej.2026.100715
4. Classification Model of Point Cloud Along Transmission Line Based on Group Normalization Z. Yin et al. https://doi.org/10.3389/fenrg.2022.839273
5. 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
6. 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
7. 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