CLASSIFIER-FREE DETECTION OF POWER LINE PYLONS FROM POINT CLOUD DATA

8 citations as recorded by crossref.

1. Extraction of Power Line Pylons and Wires Using Airborne LiDAR Data at Different Height Levels M. Awrangjeb 10.3390/rs11151798
2. DCPLD-Net: A diffusion coupled convolution neural network for real-time power transmission lines detection from UAV-Borne LiDAR data C. Chen et al. 10.1016/j.jag.2022.102960
3. Characterization and modeling of power line corridor elements from LiDAR point clouds S. Ortega et al. 10.1016/j.isprsjprs.2019.03.021
4. Modular Approach for Online Vertical Obstacle Detection P. Flanigen et al. 10.2514/1.I011244
5. Determination of Dangerous Parts of the Energy Transmission Line by the Canopy Height Model Produced from LiDAR Data N. BAŞ 10.17776/csj.532135
6. Automatic Extraction of High-Voltage Power Transmission Objects from UAV Lidar Point Clouds R. Zhang et al. 10.3390/rs11222600
7. Intelligent acceptance check for towers of overhead transmission line based on point clouds M. Ma et al. 10.1049/gtd2.13021
8. Filtering-Assisted Airborne Point Cloud Semantic Segmentation for Transmission Lines W. Yan et al. 10.3390/s24217028