Peng Wan
Orcid: 0000-0002-5366-835XAffiliations:
- Changjiang River Scientific Research Institute, CRSRI, Wuhan, China
- Beijing Normal University, Faculty of Geographical Science, China (PhD 2019)
- Henan Polytechnic University, Jiaozuo, China (former)
According to our database1,
Peng Wan
authored at least 6 papers
between 2016 and 2022.
Collaborative distances:
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Bibliography
2022
Efficient divide-and-conquer registration of UAV and ground LiDAR point clouds through canopy shape context.
CoRR, 2022
Efficient co-registration of UAV and ground LiDAR forest point clouds based on canopy shapes.
Int. J. Appl. Earth Obs. Geoinformation, 2022
2021
An Iterative-Mode Scan Design of Terrestrial Laser Scanning in Forests for Minimizing Occlusion Effects.
IEEE Trans. Geosci. Remote. Sens., 2021
2019
A Novel Approach for the Detection of Standing Tree Stems from Plot-Level Terrestrial Laser Scanning Data.
Remote. Sens., 2019
Filtering Airborne LiDAR Data Through Complementary Cloth Simulation and Progressive TIN Densification Filters.
Remote. Sens., 2019
2016
Remote. Sens., 2016