Yi He
Orcid: 0000-0003-4017-0488Affiliations:
- National-Local Joint Engineering Research Center of Technologies and Applications for National Geographic State Monitoring, Lanzhou, China
- Lanzhou Jiaotong University, Faculty of Geomatics, China (PhD 2016)
According to our database1,
Yi He
authored at least 26 papers
between 2021 and 2025.
Collaborative distances:
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Bibliography
2025
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 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 BiGRU-Based Spatiotemporal Prediction Method for Surface Displacement in Coal Mining Areas Considering Multiscale Seasonal Characteristics.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025
InSAR-Based Surface Deformation Analysis and Trend Prediction in Permafrost Areas Along the Qinghai-Tibet Railway Using Sentinel-1A and Environmental Factors.
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
2024
An integrated neural network method for landslide susceptibility assessment based on time-series InSAR deformation dynamic features.
Int. J. Digit. Earth, December, 2024
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
Spatiotemporal Characteristics and Prediction of Ecological Safety in the Yellow River Basin of China.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
Spatiotemporal Dynamic Change and the Driving Mechanism of Desertification in the Yellow River Basin.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
Spatio-Temporal Characteristics and Driving Mechanism of Alpine Peatland InSAR Surface Deformation - A Case Study of Maduo County, China.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
GLER-BiGRUnet: A Surface Deformation Prediction Model Fusing Multiscale Features of InSAR Deformation Information and Environmental Factors.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
Thaw Slump Susceptibility Mapping Based on Sample Optimization and Ensemble Learning Techniques in Qinghai-Tibet Railway Corridor.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
A Deep Neural Network Framework for Landslide Susceptibility Mapping by Considering Time-Series Rainfall.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
The Displacement Analysis and Prediction of a Creeping Ancient Landslide at Suoertou, Zhouqu County, China.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
A Multi-Input Channel U-Net Landslide Detection Method Fusing SAR Multisource Remote Sensing Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
2023
Analysis of the future trends of typical mountain glacier movements along the Sichuan-Tibet Railway based on ConvGRU network.
Int. J. Digit. Earth, December, 2023
A landslide extraction method of channel attention mechanism U-Net network based on Sentinel-2A remote sensing images.
Int. J. Digit. Earth, December, 2023
A ConvLSTM Neural Network Model for Spatiotemporal Prediction of Mining Area Surface Deformation Based on SBAS-InSAR Monitoring Data.
IEEE Trans. Geosci. Remote. Sens., 2023
Remote-Sensing-Based Change Detection Using Change Vector Analysis in Posterior Probability Space: A Context-Sensitive Bayesian Network Approach.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023
2022
A Deep Convolutional Neural Network With Multiscale Feature Dynamic Fusion for InSAR Phase Filtering.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 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
Sensors, 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