Individual tree segmentation from UAS Lidar data based on hierarchical filtering and clustering-Reference-Cited by-同舟云学术

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Individual tree segmentation from UAS Lidar data based on hierarchical filtering and clustering

Published:2024-05-27 Issue:1 Volume:17 Page:
ISSN:1753-8947
Container-title:International Journal of Digital Earth
language:en
Short-container-title:International Journal of Digital Earth

Author:

Zhang Cailian¹,Song Chengwen¹,Zaforemska Aleksandra²,Zhang Jiaxing³,Gaulton Rachel⁴,Dai Wenxia¹,Xiao Wen¹⁵

Affiliation:

1. School of Geography and Information Engineering, China University of Geosciences, Wuhan, People's Republic of China

2. School of Engineering, Newcastle University, Newcastle upon Tyne, UK

3. Lyles School of Civil Engineering, Purdue University, West Lafayette, IN, USA

4. School of Natural and Environmental Sciences, Newcastle University, Newcastle upon Tyne, UK

5. National Engineering Research Center of Geographic Information System, China University of Geosciences, Wuhan, People's Republic of China

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/17538947.2024.2356124

Reference44 articles.

1. Fast Statistical Outlier Removal Based Method for Large 3D Point Clouds of Outdoor Environments

2. Assessing spring phenology of a temperate woodland: A multiscale comparison of ground, unmanned aerial vehicle and Landsat satellite observations

3. FEC: Fast Euclidean Clustering for Point Cloud Segmentation

4. Carreira-Perpinán M. A. 2015. “A Review of Mean-Shift Algorithms for Clustering.” arXiv preprint arXiv:1503.00687.

5. Individual Tree Segmentation and Tree Height Estimation Using Leaf-Off and Leaf-On UAV-LiDAR Data in Dense Deciduous Forests

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