Tao Liu

Orcid: 0000-0003-0202-0032

Affiliations:
  • Lanzhou Jiaotong University, Lanzhou, China


According to our database1, Tao Liu authored at least 13 papers between 2021 and 2026.

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Bibliography

2026
A Multi-Scale Context Fusion Network With Boundary Refinement for Road Marking Segmentation.
IEEE Access, 2026

2025
Context-aware and boundary-optimized model for road marking instance segmentation using MLS point cloud intensity images.
Int. J. Digit. Earth, December, 2025

Oriented Road Marking Detection in MLS Point Cloud Intensity Images Using Channel and Spatial Attention.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

A Heterogeneous Ensemble Learning Method Combining Spectral, Terrain, and Texture Features for Landslide Mapping.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

Geo-MRC: Dynamic Boundary Inference in Machine Reading Comprehension for Nested Geographic Named Entity Recognition.
ISPRS Int. J. Geo Inf., 2025

A Method for Recognizing I-Shaped Building Patterns Utilizing Multi-Scale Data and Knowledge Graph.
ISPRS Int. J. Geo Inf., 2025

A Multi-Semantic Feature Fusion Method for Complex Address Matching of Chinese Addresses.
ISPRS Int. J. Geo Inf., 2025

2024
An integrated neural network method for landslide susceptibility assessment based on time-series InSAR deformation dynamic features.
Int. J. Digit. Earth, December, 2024

Research on Temporal and Spatial Distribution Pattern of the Night-Time Economy Supported by Multi-Source Data - A Case Study of Xiamen City, Fujian Province, China.
Remote. Sens., January, 2024

Precision Inverse Modeling of Highway Pavements Based on Standardized Alignment.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

2022
Time-Series Analysis and Prediction of Surface Deformation in the Jinchuan Mining Area, Gansu Province, by Using InSAR and CNN-PhLSTM Network.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

2021
An Extraction Method for Glacial Lakes Based on Landsat-8 Imagery Using an Improved U-Net Network.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

A unified network of information considering superimposed landslide factors sequence and pixel spatial neighbourhood for landslide susceptibility mapping.
Int. J. Appl. Earth Obs. Geoinformation, 2021


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