梅登奎 ( 博士后 )

GNSS/LEO电离层建模、监测及应用
dengkuimei@whu.edu.cn

工作、学习经历

2024.07-至今,武汉大学,博士后

2020/09-2024/06,武汉大学测绘学院,大地测量学与测量工程,博士

2017/09-2020/06,长沙理工大学,测绘科学与技术,硕士

2013/09-2017/06,长沙理工大学,测绘工程,本科

发表论文
1.Dengkui Mei, Xiaodong Ren, Xuan Le, Hang Liu, Xiaohong Zhang. Ionospheric Tomography: A Compressed Sensing Technique Based on Dictionary Learning[J]. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61: 1-10. (SCI)
2.Dengkui Mei, Xiaodong Ren, Hang Liu, Xuan Le, Si Xiong, Xiaohong Zhang. Global Three-Dimensional Ionospheric Tomography by Combination of Ground-Based and Space-Borne GNSS Data[J]. Space Weather, 2023, 21(4): e2022SW003368. (SCI)
3.Xiaodong Ren, Dengkui Mei, Hang Liu, Xiaohong Zhang. Investigation on Horizontal and Vertical Traveling Ionospheric Disturbances Propagation in Global-Scale Using GNSS and Multi-LEO Satellites[J]. Space Weather, 2022, 20(5): e2022SW003041. (SCI)
4.Xiaodong Ren, Dengkui Mei, Xiaohong Zhang, Freeshah Mohamed. Electron density reconstruction by ionospheric tomography from the combination of GNSS and upcoming LEO constellations[J]. Journal of Geophysical Research: Space Physics, 2021, 126(10): e2020JA029074. (SCI)
5.Debao Wen, Dengkui Mei, Hanqing Chen. Three-step tomographic algorithm for ionospheric electron density reconstruction[J]. IEEE Transactions on Geoscience and Remote Sensing, 2021, 60: 1-8. (SCI)
6.Xiaodong Ren, Yan Li, Dengkui Mei, Wei Zhu, Xiaohong Zhang. Improving topside ionospheric empirical model using FORMOSAT-7/COSMIC-2 data[J]. Journal of Geodesy, 2023, 97(4): 30. (SCI)
7.Xiaodong Ren, Xuan Le, Dengkui Mei, et al. IROTI: a new index to detect and identify traveling ionospheric disturbances and equatorial plasma bubbles[J]. GPS Solutions, 2024, 28(1): 1-13. (SCI)
8.Xiaodong Ren, Pengxin Yang, Dengkui Mei, et al. Global Ionospheric TEC Forecasting for Geomagnetic Storm Time Using a Deep Learning-Based Multi-Model Ensemble Method[J]. Space Weather, 2023, 21(3): e2022SW003231. (SCI)
9.Xiaodong Ren, Hang Liu, Dengkui Mei, Pengxin Yang, Zhiyu Zhang, Xiaohong Zhang. Leveraging the CYGNSS Spaceborne GNSS-R Observations to Detect Ionospheric Irregularities Over the Oceans: Method and Verification[J]. Space Weather, 2022, 20(11): e2022SW003141. (SCI)
10.Xiaodong Ren, Hang Liu, Zhang Jincheng, Dengkui Mei, Xiaohong Zhang. An improved method for ionospheric TEC estimation using the spaceborne GNSS-R observations[J]. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 1-12. (SCI)
获奖情况
武汉大学研究生学术创新奖二等奖(2023)