The following publications are possibly variants of this publication:
- Developing and Testing Models for Sea Surface Wind Speed Estimation with GNSS-R Delay Doppler Maps and Delay WaveformsJinwei Bu, Kegen Yu, Yongchao Zhu, Nijia Qian, Jun Chang. remotesensing, 12(22):3760, 2020. [doi]
- GNSS-R Wind Speed Retrieval of Sea Surface Based on Particle Swarm Optimization AlgorithmWenfei Guo, Hao Du, Joon Wayn Cheong, Benjamin J. Southwell, Andrew G. Dempster. tgrs, 60:1-14, 2022. [doi]
- Joint Retrieval of Sea Surface Rainfall Intensity, Wind Speed, and Wave Height Based on Spaceborne GNSS-R: A Case Study of the Oceans near ChinaJinwei Bu, Kegen Yu, Feiyang Zhu, Xiaoqing Zuo, Weimin Huang 0001. remotesensing, 15(11):2757, 2023. [doi]
- Tsunami-Wave Parameter Estimation Using GNSS-Based Sea Surface Height MeasurementKegen Yu. tgrs, 53(5):2603-2611, 2015. [doi]
- A Real-Time GNSS-R System for Monitoring Sea Surface Wind Speed and Significant Wave HeightJin Xing, Baoguo Yu, Dongkai Yang, Jie Li, Zhejia Shi, Guodong Zhang 0003, Feng Wang 0007. sensors, 22(10):3795, 2022. [doi]
- GloWS-Net: A Deep Learning Framework for Retrieving Global Sea Surface Wind Speed Using Spaceborne GNSS-R DataJinwei Bu, Kegen Yu, Xiaoqing Zuo, Jun Ni, Yongfa Li, Weimin Huang 0001. remotesensing, 15(3):590, February 2023. [doi]