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刘晖
34
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- 主要任职：讲师，硕士生导师
- 毕业院校：北京大学
- 学历：博士研究生毕业
- 学位：理学博士学位
- 所在单位：遥感与测绘工程学院
- 办公地点：北辰楼301
访问量：
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[1] Hui Liu, Mingze Yuan, Mei Li, Ben Li, Haoyuan Zhang, Jinzheng Wang.An Efficient and Fully Refined Deformation Extraction Method for Deriving Mining-Induced Subsidence .IEEE Transactions on Geoscience and Remote Sensing.2023,61 :1-17
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[2] Hui Liu, Mei Li, Mingze Yuan, Ben Li.A Fine Subsidence Information Extraction Model Based on Multi-source Inversion by Integrating InSAR .Natural Hazards.2022
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[3] Hui Liu, Shanjun Mao, Mei Li, Pingyang Lyu.A GIS Based Unsteady Network Model and System Applications for Intelligent Mine Ventilation..Discrete Dynamics in Nature and Society.2020
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[4] Hui Liu, Mei Li, Ben Li.Extreme Precipitation Susceptibility Map over the Main Mining Areas of China Based on Satellite Prec.29th International Conference on Geoinformatics, IEEE.2022
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[5] Hui Liu, Xiaohu Wu, Shanjun Mao, Mei Li.A Time Varying Ventilation and Dust Control Strategy Based on the Temporospatial Characteristics of .Minerals.2017
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[6] Subsidence monitoring base on SBAS-InSAR and slope stability analysis method for damage analysis in .Remote Sensing.2021
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[7] Spectral-Spatial Classification of Hyperspectral Images Using Deep Convolutional Neural Networks..Remote Sensing Letters.2015
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[8] Hui Liu, Shanjun Mao, Mei Li, Jun Yue.3D Simulation for Dynamic Characteristics of Airflow and Dust Control in A Laneway of Coal Mine..24th International Conference on Geoinformatics, IEEE.2016
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[9] Hui Liu, Shanjun Mao, Mei Li.A Case Study of an Optimized Intermittent Ventilation Strategy Based on CFD Modeling and the Concept.Energies.2019
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[10] Hui Liu, Shanjun Mao, Mei Li, Pingyang Lyu.3D Online Mine Ventilation Simulation System Based on GIS.International Conference on 5G for Future Wireless Networks. Springer, Cham
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[11] MFPA-Net: An Efficient Deep Learning Network for Automatic Ground Fissures Extraction in UAV Images .International Journal of Applied Earth Observation and Geoinformation.2022
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[12] Hui Liu, Shanjun Mao, Mei Li, Shuangyong Wang.A Tightly Coupled GIS and Spatiotemporal Modeling for methane emission simulation in the underground.Applied Sciences-Basel.2019
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[13] A Morphology-Based Adaptively Spatio-Temporal Merging Algorithm for Optimally Combining Multisource .IEEE Transactions on Geoscience and Remote Sensing.2020
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[14] DESA: a novel hybrid decomposing-ensemble and spatiotemporal attention model for PM2.5 forecasting..Environmental Science and Pollution Research.2022
