All Stories

  1. TLNet: A deep learning framework for tree detection in forest point clouds using multi-layered forest structure
  2. A Probabilistic Optimization Framework for Terrestrial and UAV-borne Laser Scanning Forest Point Cloud Registration
  3. Graph-Topological Deep Detector for Cross-Platform Forest Point Clouds
  4. From Point Clouds to Forest Analytics: libTTS, a Practical Toolkit for the Geoindustry
  5. Automated registration of forest point clouds from terrestrial and drone platforms using structural features
  6. A synthesized field survey database of vegetation and active layer properties for the Alaskan tundra (1972–2020)
  7. Topology-based individual tree segmentation for automated processing of terrestrial laser scanning point clouds
  8. A topology-based approach to individual tree segmentation from airborne LiDAR data
  9. Outline buildings from airborne laser scanning point clouds.
  10. A Persistence-Based Approach for Individual Tree Mapping