AUTOMATIC POWERLINE SCENE CLASSIFICATION AND RECONSTRUCTION USING AIRBORNE LIDAR DATA

39 citations as recorded by crossref.

1. Fully Automatic Point Cloud Analysis for Powerline Corridor Mapping C. Nardinocchi et al.
2. Fully-Automated Power Line Extraction from Airborne Laser Scanning Point Clouds in Forest Areas L. Zhu & J. Hyyppä
3. Automobile indexation from 3D point clouds of urban scenarios R. Alfonso et al.
4. Automatic Extraction of High-Voltage Power Transmission Objects from UAV Lidar Point Clouds R. Zhang et al.
5. Voxel-Based Extraction of Transmission Lines From Airborne LiDAR Point Cloud Data J. Yang & Z. Kang
6. Wind adaptive modeling of transmission lines using minimum description length Y. Jaw & G. Sohn
7. Remote sensing methods for power line corridor surveys L. Matikainen et al.
8. Detecting Inspection Objects of Power Line from Cable Inspection Robot LiDAR Data X. Qin et al.
9. Feature Selection for Airbone LiDAR Point Cloud Classification M. Kuprowski & P. Drozda
10. 3D Reconstruction of Power Lines Using UAV Images to Monitor Corridor Clearance E. Pastucha et al.
11. Advanced Power Line Diagnostics Using Point Cloud Data—Possible Applications and Limits M. Siranec et al.
12. The influence of sunlight on the measurement of slender steel pole inclination – A case study R. Gradka
13. An Efficient Voxel-Based Segmentation Algorithm Based on Hierarchical Clustering to Extract LIDAR Power Equipment Data in Transformer Substations J. Guo et al.
14. Investigating Semi-Automated Cadastral Boundaries Extraction from Airborne Laser Scanned Data X. Luo et al.
15. A photogrammetric solution for measurement of power lines sag via integration of image and accelerometer data of a smartphone A. Safdarinezhad et al.
16. Classification of Airborne Laser Scanning Point Cloud Using Point-Based Convolutional Neural Network J. Zhu et al.
17. Advances in Remote Sensing and Artificial Intelligence for Vegetation Monitoring in Power Line Corridors: A review and future directions A. Savva et al.
18. Extraction of Power Line Pylons and Wires Using Airborne LiDAR Data at Different Height Levels M. Awrangjeb
19. Automatic Clearance Anomaly Detection for Transmission Line Corridors Utilizing UAV-Borne LIDAR Data C. Chen et al.
20. Airborne LIDAR system for real-time power lines recognition and terrain assessment C. Zhang et al.
21. Extraction of urban power lines and potential hazard analysis from mobile laser scanning point clouds Z. Shi et al.
22. BS-McL: Bilevel Segmentation Framework With Metacognitive Learning for Detection of the Power Lines in UAV Imagery J. Senthilnath et al.
23. An Improved Method for Power-Line Reconstruction from Point Cloud Data B. Guo et al.
24. 3D Detection of Power-Transmission Lines in Point Clouds Using Random Forest Method M. Mohammadi moghaddam et al.
25. An Entropy-Weighting Method for Efficient Power-Line Feature Evaluation and Extraction from LiDAR Point Clouds J. Tan et al.
26. DCPLD-Net: A diffusion coupled convolution neural network for real-time power transmission lines detection from UAV-Borne LiDAR data C. Chen et al.
27. A Model-Driven Approach for 3D Modeling of Pylon from Airborne LiDAR Data Q. Li et al.
28. Automatic Object Extraction from Electrical Substation Point Clouds M. Arastounia & D. Lichti
29. Automatic detection of power transmission lines and risky object locations using UAV LiDAR data M. Dihkan & E. Mus
30. Extraction of power lines using mobile LiDAR data of roadway environment M. Yadav & C. Chousalkar
31. Performance, effectiveness and computational efficiency of powerline extraction methods for quantifying ecosystem structure from light detection and ranging Y. Shi & W. Kissling
32. Autonomous Point Cloud Segmentation for Power Lines Inspection in Smart Grid A. Kyuroson et al.
33. Classification From Airborne Traditional Point Cloud to Multispectral Point Cloud: A Review Q. Wang et al.
34. LiDAR Point Clouds to 3-D Urban Models$:$ A Review R. Wang et al.
35. A Novel Method to Reconstruct Overhead High-Voltage Power Lines Using Cable Inspection Robot LiDAR Data X. Qin et al.
36. Classification of UAV point clouds by random forest machine learning algorithm M. ZEYBEK
37. The Use of Airborne and Mobile Laser Scanning for Modeling Railway Environments in 3D L. Zhu & J. Hyyppa
38. Conductor Reconstruction for Dynamic Line Rating Using Vehicle-Mounted LiDAR J. McCulloch & R. Green
39. PylonModeler: A hybrid-driven 3D reconstruction method for power transmission pylons from LiDAR point clouds S. Wu et al.