Lei Fan

Orcid: 0000-0002-5538-4684

Affiliations:
  • Xi'an Jiaotong-Liverpool University, Suzhou, China


According to our database1, Lei Fan authored at least 24 papers between 2014 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Enhancing Environmental Monitoring through Multispectral Imaging: The WasteMS Dataset for Semantic Segmentation of Lakeside Waste.
CoRR, 2024

Seg-LSTM: Performance of xLSTM for Semantic Segmentation of Remotely Sensed Images.
CoRR, 2024

Interpretability of Statistical, Machine Learning, and Deep Learning Models for Landslide Susceptibility Mapping in Three Gorges Reservoir Area.
CoRR, 2024

Rethinking Scanning Strategies with Vision Mamba in Semantic Segmentation of Remote Sensing Imagery: An Experimental Study.
CoRR, 2024

Samba: Semantic Segmentation of Remotely Sensed Images with State Space Model.
CoRR, 2024

2023
Review on Deep Learning Algorithms and Benchmark Datasets for Pairwise Global Point Cloud Registration.
Remote. Sens., April, 2023

An Attribution Deep Learning Interpretation Model for Landslide Susceptibility Mapping in the Three Gorges Reservoir Area.
IEEE Trans. Geosci. Remote. Sens., 2023

SBSS: Stacking-Based Semantic Segmentation Framework for Very High-Resolution Remote Sensing Image.
IEEE Trans. Geosci. Remote. Sens., 2023

SDRCNN: A Single-Scale Dense Residual Connected Convolutional Neural Network for Pansharpening.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Comparing roughness descriptors for distinct terrain surfaces in point cloud data.
CoRR, 2023

Selection of contributing factors for predicting landslide susceptibility using machine learning and deep learning models.
CoRR, 2023

OSTA: One-shot Task-adaptive Channel Selection for Semantic Segmentation of Multichannel Images.
CoRR, 2023

Deformation measurement of a soil mixing retaining wall using terrestrial laser scanning.
CoRR, 2023

2022
Semantic Segmentation of Terrestrial Laser Scanning Point Clouds Using Locally Enhanced Image-Based Geometric Representations.
IEEE Trans. Geosci. Remote. Sens., 2022

Semantic Segmentation of Multispectral Images via Linear Compression of Bands: An Experiment Using RIT-18.
Remote. Sens., 2022

Comparisons of five indices for estimating local terrain surface roughness using LiDAR point clouds.
Proceedings of the 29th International Conference on Geoinformatics, 2022

2021
An Efficient Filtering Approach for Removing Outdoor Point Cloud Data of Manhattan-World Buildings.
Remote. Sens., 2021

Selecting Optimal Combination of Data Channels for Semantic Segmentation in City Information Modelling (CIM).
Remote. Sens., 2021

An Efficient Approach to Automatic Construction of 3D Watertight Geometry of Buildings Using Point Clouds.
Remote. Sens., 2021

Comparisons of Eight Simplification Methods for Data Reduction of Terrain Point Cloud.
Proceedings of the ICCCV 2021: 4th International Conference on Control and Computer Vision, Macau, SAR, China, August 13, 2021

2019
An Iterative Coarse-to-Fine Sub-Sampling Method for Density Reduction of Terrain Point Clouds.
Remote. Sens., 2019

2015
Accuracy of Digital Elevation Models Derived From Terrestrial Laser Scanning Data.
IEEE Geosci. Remote. Sens. Lett., 2015

Error in target-based georeferencing and registration in terrestrial laser scanning.
Comput. Geosci., 2015

2014
Propagation of vertical and horizontal source data errors into a TIN with linear interpolation.
Int. J. Geogr. Inf. Sci., 2014


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