Automatic registration framework for multi-platform point cloud data in natural forests-Reference-Cited by-同舟云学术

Automatic registration framework for multi-platform point cloud data in natural forests

Published:2023-07-19 Issue:15 Volume:44 Page:4596-4616
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Wang Xin¹,Chen Qiuji²,Wang Hong¹^ORCID,Li Xiuneng³,Yang Han¹

Affiliation:

1. College of Hydrology and Water Resources, Hohai University, Nanjing, P.R. China

2. College of Geomatics, Xi’an University of Science and Technology, Xi’an, P.R. China

3. School of Earth Sciences and Engineering, Hohai University, Nanjing, P.R. China

Funder

Research Project of Key Technologies for Water Resources Protection, Utilization, and Ecological Reconstruction in the Northern Shaanxi Coal Mine Area

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2023.2235636

Reference43 articles.

1. Automatic registration of optical aerial imagery to a LiDAR point cloud for generation of city models

2. A Framework for the Registration and Segmentation of Heterogeneous Lidar Data

3. Estimating vegetation biomass and cover across large plots in shrub and grass dominated drylands using terrestrial lidar and machine learning

4. Least-Squares Fitting of Two 3-D Point Sets

5. Layer Stacking: A Novel Algorithm for Individual Forest Tree Segmentation from LiDAR Point Clouds

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