Kai Tan

Orcid: 0000-0001-8158-0008

Affiliations:
  • East China Normal University, State Key Laboratory of Estuarine and Coastal Research, Dongchuan Road, Shanghai, China
  • Tongji University, College of Surveying and Geo-Informatics, Shanghai, China
  • ong Kong Polytechnic University, Department of Land Surveying and Geo-Informatics, Kowloon, Hong Kong
  • Wuhan University, Department of geodesy and geomatics, China


According to our database1, Kai Tan authored at least 10 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

Online presence:

On csauthors.net:

Bibliography

2023
Inshore marine litter detection using radiometric and geometric data of terrestrial laser scanners.
Int. J. Appl. Earth Obs. Geoinformation, February, 2023

Rigorous Density Correction Model for Single-Scan TLS Point Clouds.
IEEE Trans. Geosci. Remote. Sens., 2023

2022
Discriminating Forest Leaf and Wood Components in TLS Point Clouds at Single-Scan Level Using Derived Geometric Quantities.
IEEE Trans. Geosci. Remote. Sens., 2022

Recognition of ecological vegetation fairy circles in intertidal salt marshes from UAV LiDAR point clouds.
Int. J. Appl. Earth Obs. Geoinformation, 2022

2021
Leaf and Wood Separation for Individual Trees Using the Intensity and Density Data of Terrestrial Laser Scanners.
IEEE Trans. Geosci. Remote. Sens., 2021

Automatic Detection of Shield Tunnel Leakages Based on Terrestrial Mobile LiDAR Intensity Images Using Deep Learning.
IEEE Access, 2021

2020
Distance Effect Correction on TLS Intensity Data Using Naturally Homogeneous Targets.
IEEE Geosci. Remote. Sens. Lett., 2020

2019
Adaptive Re-weighted Block Adjustment for Multi-Coverage Satellite Stereo Images without Ground Control Points.
IEEE Access, 2019

2016
Correction of Mobile TLS Intensity Data for Water Leakage Spots Detection in Metro Tunnels.
IEEE Geosci. Remote. Sens. Lett., 2016

An Empirical Method in Correcting Specular Highlight Phenomenon in TLS Intensity Data.
IEEE Access, 2016


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