POTENTIAL OF FULL WAVEFORM AIRBORNE LASER SCANNING DATA FOR URBAN AREA CLASSIFICATION – TRANSFER OF CLASSIFICATION APPROACHES BETWEEN MISSIONS

7 citations as recorded by crossref.

1. A Comparison of Deep Learning Methods for Airborne Lidar Point Clouds Classification N. Li et al.
2. Airborne LiDAR point cloud classification using PointNet++ network with full neighborhood features X. Nong et al.
3. Automatic Airborne Laser Scanning Data Quality Control Procedure for Environmental Studies B. Kraszewski et al.
4. Integration of UAS and Backpack-LiDAR to Estimate Aboveground Biomass of Picea crassifolia Forest in Eastern Qinghai, China J. Ali et al.
5. Use of SfM-MVS approach to nadir and oblique images generated throught aerial cameras to build 2.5D map and 3D models in urban areas M. Pepe et al.
6. Improving LiDAR classification accuracy by contextual label smoothing in post-processing N. Li et al.
7. Full-Waveform Airborne Laser Scanning in Vegetation Studies—A Review of Point Cloud and Waveform Features for Tree Species Classification K. Koenig & B. Höfle