AUTOMATIC CLASSIFICATION OF TREES FROM LASER SCANNING POINT CLOUDS

10 citations as recorded by crossref.

1. Implementing secure applications in smart city clouds using microservices M. Krämer et al.
2. Shape classification guided method for automated extraction of urban trees from terrestrial laser scanning point clouds X. Ning et al.
3. Scalable individual tree delineation in 3D point clouds J. Wang et al.
4. An Unsupervised Canopy-to-Root Pathing (UCRP) Tree Segmentation Algorithm for Automatic Forest Mapping J. Carpenter et al.
5. Building a High-Precision 2D Hydrodynamic Flood Model Using UAV Photogrammetry and Sensor Network Monitoring J. Langhammer et al.
6. Automatic Forest Mapping at Individual Tree Levels from Terrestrial Laser Scanning Point Clouds with a Hierarchical Minimum Cut Method B. Yang et al.
7. Instance recognition of street trees from urban point clouds using a three-stage neural network T. Jiang et al.
8. A Classification-Segmentation Framework for the Detection of Individual Trees in Dense MMS Point Cloud Data Acquired in Urban Areas M. Weinmann et al.
9. Segmentation of a Point Cloud by Data on Laser Scanning Intensities S. Levashev
10. Change Detection of Urban Trees in MLS Point Clouds Using Occupancy Grids P. Hirt et al.