Author:
Shen Yueqian,Huang Junjun,Chen Dong,Wang Jinguo,Li Junxi,Ferreira Vagner
Subject
Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change
Reference36 articles.
1. Amado, M., Lopes, F., Dias, A., Martins, A., 2021. LiDAR-based Power Assets Extraction based on Point Cloud Data. In: 2021 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC).
2. Extraction of power line pylons and wires using airborne lidar data at different height levels;Awrangjeb;Remote Sens.,2019
3. Classifier-free detection of power line pylons from point cloud data;Awrangjeb,2017
4. Classification of airborne laser scanning data using JointBoost;Bo;ISPRS J. Photogramm. Remote Sens.,2015
5. DCPLD-Net: A diffusion coupled convolution neural network for real-time power transmission lines detection from UAV-Borne LiDAR data;Chen;Int. J. Appl. Earth Obs. Geoinf.,2022
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献