Automated Extraction of 3D Trees from Mobile LiDAR Point Clouds

9 citations as recorded by crossref.

1. Multiscale and Multifeature Normalized Cut Segmentation for High Spatial Resolution Remote Sensing Imagery Y. Zhong et al. 10.1109/TGRS.2016.2580643
2. SD-GCN: Saliency-based dilated graph convolution network for pavement crack extraction from 3D point clouds L. Ma & J. Li 10.1016/j.jag.2022.102836
3. Identification of trees and their trunks from mobile laser scanning data of roadway scenes M. Yadav & B. Lohani 10.1080/01431161.2019.1662966
4. Automatic Segmentation of Individual Grains From a Terrestrial Laser Scanning Point Cloud of a Mountain River Bed A. Walicka & N. Pfeifer 10.1109/JSTARS.2022.3141892
5. Bag of Contextual-Visual Words for Road Scene Object Detection From Mobile Laser Scanning Data Y. Yu et al. 10.1109/TITS.2016.2550798
6. Polygonization of point clouds of repetitive components in civil infrastructure based on geometric similarities N. Hidaka et al. 10.1016/j.autcon.2017.10.014
7. Improved 3D Stem Mapping Method and Elliptic Hypothesis-Based DBH Estimation from Terrestrial Laser Scanning Data W. Ye et al. 10.3390/rs12030352
8. Individual tree extraction from urban mobile laser scanning point clouds using deep pointwise direction embedding H. Luo et al. 10.1016/j.isprsjprs.2021.03.002
9. A novel method for forest spatial structure heterogeneity evaluation of plantation utilizing point-wise vector network and neighborhood index H. Qiu et al. 10.1016/j.compag.2024.109774