Affiliation:
1. Key Laboratory of Urban Land Resources Monitoring & Simulation, Ministry of Natural Resources, Shenzhen University, Shenzhen, China
2. Guangdong Laboratory of Artificial Intelligence and Digital Economy, Shenzhen University, Shenzhen, China
Funder
National Key Research and Development Program of China
Research Program of Shenzhen S and T Innovation Committee
Natural Science Foundation of Guangdong Province
Open Fund of Key Laboratory of Urban Land Resources Monitoring and Simulation
National Natural Science Foundation of China
Shenzhen Polytechnic Institute of IOT, Shenzhen
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Atmospheric Science,Computers in Earth Sciences
Reference30 articles.
1. A Self-Adaptive Mean Shift Tree-Segmentation Method Using UAV LiDAR Data
2. Segmentation and Clustering of 3D Forest Point Cloud Using Mean Shift Algorithms
3. A branch-trunk-constrained hierarchical clustering method for street trees individual extraction from mobile laser scanning point clouds
4. Individual tree segmentation over large areas using airborne LiDAR point cloud and very high resolution optical imagery;qin;Proc IEEE Geosci Remote Sens Symp,0
5. Voxel based scalable registration of laser scanned point cloud data by neighbourhood voting;wang;Proc IQmulus 1st Workshop Process Large Geospatial Data,0
Cited by
6 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