Point Cloud Vegetation Visualization
Point Cloud Vegetation Visualization is a computational method that generates three-dimensional graphical representations of vegetation structures by rendering and organizing spatially distributed point data acquired from remote sensing technologies, distinguishing itself through its direct use of unstructured point cloud datasets to preserve geometric fidelity and structural detail in plant canopy modeling.
2
Publications
41
Citations
13
Authors
3
Institutions
Publications per year
2017–2026
1
Parents
2
Tree Completion Net: A Novel Vegetation Point Clouds Completion Model Based on Deep Learning
Binfu Ge, Sheng-Yi Chen, Weibing He et al. · Remote Sensing · 2024 · 10 citations · Full text
Computing, Forestry, Computer Vision +16
1–4 of 2
13
1
h-index
1
h-index
National Engineering Research Center for Information Technology in Agriculture, China
1 publications · 30 citations
1
h-index
1
h-index
1
h-index
1–5 of 13
3
National Engineering Research Center for Information Technology in Agriculture
Beijing, China
1 h-index
7 publications
210 citations

Zhongkai University of Agriculture and Engineering
Guangzhou, China
1 h-index
6 publications
180 citations

Hebei Agricultural University
Baoding, China
1 h-index
2 publications
60 citations

Chinese Academy of Sciences
Beijing, China
1 publications
10 citations
Aerospace Information Research Institute
Beijing, China
1 publications
10 citations

University of Electronic Science and Technology of China
Chengdu, China
1 publications
10 citations
Natural Hazards Research Australia
East Melbourne, Australia
1 publications
10 citations
RMIT University
Melbourne, Australia
1 publications
10 citations
1–8 of 3
1 publications · 30 citations
1
h-index
1 publications · 11 citations
1
h-index
1 publications · 10 citations
1 publications · 10 citations
1–4