Automatic tree stem detection – a geometric feature based approach for MLS point clouds

9 citations as recorded by crossref.

1. Automatic Forest Mapping at Individual Tree Levels from Terrestrial Laser Scanning Point Clouds with a Hierarchical Minimum Cut Method B. Yang et al. 10.3390/rs8050372
2. Automatic Stem Detection in Terrestrial Laser Scanning Data With Distance-Adaptive Search Radius M. Chen et al. 10.1109/TGRS.2017.2787782
3. Object Classification and Recognition From Mobile Laser Scanning Point Clouds in a Road Environment M. Lehtomaki et al. 10.1109/TGRS.2015.2476502
4. Automatic extraction of street trees’ nonphotosynthetic components from MLS data S. Xu et al. 10.1016/j.jag.2018.02.016
5. A New Clustering-Based Framework to the Stem Estimation and Growth Fitting of Street Trees From Mobile Laser Scanning Data S. Xu et al. 10.1109/JSTARS.2020.3001978
6. Navigation and Mapping in Forest Environment Using Sparse Point Clouds P. Nevalainen et al. 10.3390/rs12244088
7. Identification of trees and their trunks from mobile laser scanning data of roadway scenes M. Yadav & B. Lohani 10.1080/01431161.2019.1662966
8. Identification of Street Trees’ Main Nonphotosynthetic Components from Mobile Laser Scanning Data S. Xu & S. Xu 10.3103/S1060992X20040062
9. Individual stem detection in residential environments with MLS data S. Xu et al. 10.1080/2150704X.2017.1384588