AUTOMATIC CLASSIFICATION OF TREES FROM LASER SCANNING POINT CLOUDS

9 citations as recorded by crossref.

1. Implementing secure applications in smart city clouds using microservices M. Krämer et al. 10.1016/j.future.2019.04.042
2. Shape classification guided method for automated extraction of urban trees from terrestrial laser scanning point clouds X. Ning et al. 10.1007/s11042-021-11328-7
3. Scalable individual tree delineation in 3D point clouds J. Wang et al. 10.1111/phor.12247
4. An Unsupervised Canopy-to-Root Pathing (UCRP) Tree Segmentation Algorithm for Automatic Forest Mapping J. Carpenter et al. 10.3390/rs14174274
5. Building a High-Precision 2D Hydrodynamic Flood Model Using UAV Photogrammetry and Sensor Network Monitoring J. Langhammer et al. 10.3390/w9110861
6. Instance recognition of street trees from urban point clouds using a three-stage neural network T. Jiang et al. 10.1016/j.isprsjprs.2023.04.010
7. A Classification-Segmentation Framework for the Detection of Individual Trees in Dense MMS Point Cloud Data Acquired in Urban Areas M. Weinmann et al. 10.3390/rs9030277
8. Segmentation of a Point Cloud by Data on Laser Scanning Intensities S. Levashev 10.1134/S1054661819010152
9. Change Detection of Urban Trees in MLS Point Clouds Using Occupancy Grids P. Hirt et al. 10.1007/s41064-021-00179-4