A COMPARISON OF TREE SEGMENTATION METHODS USING VERY HIGH DENSITY AIRBORNE LASER SCANNER DATA

12 citations as recorded by crossref.

1. LiDAR-Based Regional Inventory of Tall Trees—Wellington, New Zealand J. Zörner et al. 10.3390/f9110702
2. Deep Semantic Segmentation of Trees Using Multispectral Images I. Ulku et al. 10.1109/JSTARS.2022.3203145
3. Open software and standards in the realm of laser scanning technology F. Pirotti 10.1186/s40965-019-0073-z
4. Using Discrete-Point LiDAR to Classify Tree Species in the Riparian Pacific Northwest, USA J. Tatum & D. Wallin 10.3390/rs13142647
5. Remote sensing of american maple in alluvial forests: a case study in an island complex of the Loire valley (France) H. Martin et al. 10.3832/ifor3237-013
6. Tree species classification from airborne hyperspectral and LiDAR data using 3D convolutional neural networks J. Mäyrä et al. 10.1016/j.rse.2021.112322
7. Parameterization of the Individual Tree Detection Method Using Large Dataset from Ground Sample Plots and Airborne Laser Scanning for Stands Inventory in Coniferous Forest Ł. Kolendo et al. 10.3390/rs13142753
8. Information Technologies for Real-Time Mapping of Human Well-Being Indicators in an Urban Historical Garden F. Pirotti et al. 10.3390/fi14100280
9. Preface to the special issue “Open Science for earth remote sensing: latest developments in software and data” F. Pirotti et al. 10.1186/s40965-017-0039-y
10. Quantifying the influence of individual trees on slope stability at landscape scale R. Spiekermann et al. 10.1016/j.jenvman.2021.112194
11. Advances in the Derivation of Northeast Siberian Forest Metrics Using High-Resolution UAV-Based Photogrammetric Point Clouds F. Brieger et al. 10.3390/rs11121447
12. Automated Inventory of Broadleaf Tree Plantations with UAS Imagery A. Chandrasekaran et al. 10.3390/rs14081931