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Lei Fan
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Cited by
Year
Error in target-based georeferencing and registration in terrestrial laser scanning
L Fan, JA Smethurst, PM Atkinson, W Powrie
Computers & geosciences 83, 54-64, 2015
632015
The effect of short ground vegetation on terrestrial laser scans at a local scale
L Fan, W Powrie, J Smethurst, PM Atkinson, H Einstein
ISPRS Journal of Photogrammetry and Remote Sensing 95, 42-52, 2014
522014
Accuracy of digital elevation models derived from terrestrial laser scanning data
L Fan, PM Atkinson
IEEE Geoscience and Remote Sensing Letters 12 (9), 1923-1927, 2015
382015
The influence of particle elongations on direct shear behaviour of granular materials using DEM
SPK Kodicherla, G Gong, ZX Yang, K Krabbenhoft, L Fan, CKS Moy, ...
Granular Matter 21 (4), 86, 2019
352019
Propagation of vertical and horizontal source data errors into a TIN with linear interpolation
L Fan, J Smethurst, P Atkinson, W Powrie
International journal of geographical information science 28 (7), 1378-1400, 2014
252014
Effects of preparation methods on inherent fabric anisotropy and packing density of reconstituted sand
SPK Kodicherla, G Gong, L Fan, CKS Moy, J He
Cogent Engineering 5 (1), 1533363, 2018
242018
Selecting optimal combination of data channels for semantic segmentation in city information modelling (CIM)
Y Cai, H Huang, K Wang, C Zhang, L Fan, F Guo
Remote Sensing 13 (7), 1367, 2021
192021
A new multi-resolution based method for estimating local surface roughness from point clouds
L Fan, PM Atkinson
ISPRS journal of photogrammetry and remote sensing 144, 369-378, 2018
172018
Investigations of the effects of particle morphology on granular material behaviors using a multi-sphere approach
SPK Kodicherla, G Gong, L Fan, S Wilkinson, CKS Moy
Journal of Rock Mechanics and Geotechnical Engineering 12 (6), 1301-1312, 2020
162020
A comparison between structure-from-motion and terrestrial laser scanning for deriving surface roughness: A case study on a sandy terrain surface
L Fan
The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2020
142020
An iterative coarse-to-fine sub-sampling method for density reduction of terrain point clouds
L Fan, PM Atkinson
Remote Sensing 11 (8), 947, 2019
142019
An efficient approach to automatic construction of 3D watertight geometry of buildings using point clouds
Y Cai, L Fan
Remote Sensing 13 (10), 1947, 2021
132021
Discrete element modelling of strength and critical state characteristics of granular materials under axial compression and axial extension stress path tests
SPK Kodicherla, G Gong, L Fan, S Wilkinson, CKS Moy
Particuology 56, 152-162, 2021
122021
SBSS: Stacking-based semantic segmentation framework for very high-resolution remote sensing image
Y Cai, L Fan, Y Fang
IEEE Transactions on Geoscience and Remote Sensing 61, 1-14, 2023
102023
Semantic segmentation of terrestrial laser scanning point clouds using locally enhanced image-based geometric representations
Y Cai, L Fan, PM Atkinson, C Zhang
IEEE Transactions on Geoscience and Remote Sensing 60, 1-15, 2022
92022
Scene segmentation of remotely sensed images with data augmentation using U-net++
C Chen, L Fan
2021 International Conference on Computer Engineering and Artificial …, 2021
92021
Point cloud registration: A mini-review of current state, challenging issues and future directions
N Brightman, L Fan, Y Zhao
AIMS Geosci 9, 68-85, 2023
82023
An attribution deep learning interpretation model for landslide susceptibility mapping in the Three Gorges Reservoir Area
C Chen, L Fan
IEEE Transactions on Geoscience and Remote Sensing, 2023
72023
Uncertainty in terrestrial laser scanning for measuring surface movements at a local scale
L Fan
University of Southampton, 2014
72014
Landslide susceptibility evaluation and interpretability analysis of typical loess areas based on deep learning
L Chang, G Xing, H Yin, L Fan, R Zhang, N Zhao, F Huang, J Ma
Natural Hazards Research 3 (2), 155-169, 2023
62023
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Articles 1–20