RANDOM FORESTS BASED MULTIPLE CLASSIFIER SYSTEM FOR POWER-LINE SCENE CLASSIFICATION

21 citations as recorded by crossref.

1. Analytical and numerical investigations on the accuracy and robustness of geometric features extracted from 3D point cloud data A. Dittrich et al. 10.1016/j.isprsjprs.2017.02.012
2. The Extraction of Vegetation Points from LiDAR Using 3D Fractal Dimension Analyses H. Yang et al. 10.3390/rs70810815
3. An enhanced descriptor extraction algorithm for power line detection from point clouds D. Shokri et al. 10.1111/1745-5871.12604
4. Investigation of landslide-based road surface deformation in mountainous areas with single period UAV data M. Zeybek & S. Biçici 10.1080/10106049.2022.2142969
5. Advances in Remote Sensing and Artificial Intelligence for Vegetation Monitoring in Power Line Corridors: A review and future directions A. Savva et al. 10.1109/MGRS.2025.3558741
6. Real-time Identification and Measurement of Transmission Lines Based On Mobile LiDAR Scanning M. Li et al. 10.1007/s41064-025-00341-2
7. Systematic Comparison of Power Corridor Classification Methods from ALS Point Clouds S. Peng et al. 10.3390/rs11171961
8. A segmentation method for LiDAR point clouds of aerial slender targets B. Huang et al. 10.3389/fphy.2025.1548786
9. A Multilevel Point-Cluster-Based Discriminative Feature for ALS Point Cloud Classification Z. Zhang et al. 10.1109/TGRS.2016.2514508
10. Semantic point cloud interpretation based on optimal neighborhoods, relevant features and efficient classifiers M. Weinmann et al. 10.1016/j.isprsjprs.2015.01.016
11. A Dual Attention Neural Network for Airborne LiDAR Point Cloud Semantic Segmentation K. Zhang et al. 10.1109/TGRS.2022.3201902
12. Powerline extraction from aerial and mobile LiDAR data using deep learning V. Kumar et al. 10.1007/s12145-024-01310-w
13. Classification of ALS Point Cloud with Improved Point Cloud Segmentation and Random Forests H. Ni et al. 10.3390/rs9030288
14. Classification of UAV point clouds by random forest machine learning algorithm M. ZEYBEK 10.31127/tuje.669566
15. Deep convolutional neural networks for building extraction from orthoimages and dense image matching point clouds E. Maltezos et al. 10.1117/1.JRS.11.042620
16. CSF-Net: Color Spectrum Fusion Network for Semantic Labeling of Airborne Laser Scanning Point Cloud J. Li et al. 10.1109/JSTARS.2021.3133602
17. Predicting pragmatic functions of Chinese echo questions using prosody: evidence from acoustic analysis and data modeling S. Cao et al. 10.3389/fpsyg.2024.1322482
18. Classifying airborne LiDAR point clouds via deep features learned by a multi-scale convolutional neural network R. Zhao et al. 10.1080/13658816.2018.1431840
19. Distinctive 2D and 3D features for automated large-scale scene analysis in urban areas M. Weinmann et al. 10.1016/j.cag.2015.01.006
20. A Graph-Voxel Joint Convolution Neural Network for ALS Point Cloud Segmentation J. Zhang et al. 10.1109/ACCESS.2020.3013293
21. An Iterative Graph-Based Method for Constructing Gaps in High-Voltage Bundle Conductors Using Airborne LiDAR Point Cloud Data N. Munir et al. 10.1109/TGRS.2023.3341970