Ming Li
Orcid: 0000-0001-8831-2575Affiliations:
- George Washington University, Department of Electronic Computer and Engineering, DC, USA
- University of Electronic Science and Technology of China, Chengdu, China (PhD 2021)
According to our database1,
Ming Li
authored at least 16 papers
between 2018 and 2025.
Collaborative distances:
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Bibliography
2025
IEEE Trans. Geosci. Remote. Sens., 2025
2024
IEEE Trans. Geosci. Remote. Sens., 2024
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
Proceedings of the IGARSS 2024, 2024
2023
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
2022
Modeling Bistatic Coherent Scattering From Multilayered Rough Surface Using Its Effective Dielectric Constant at P- and L-Bands.
IEEE Trans. Geosci. Remote. Sens., 2022
IEEE Trans. Geosci. Remote. Sens., 2022
P- and L-Band Retrieval of Subsurface Soil Moisture and Temperature Profiles as First-Order Polynomial Function.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
2021
An Improved Two-Scale Method for Simulating the Backscattering of Random Rough Surfaces.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
2019
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
2018
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
The Decomposition-Reconstitution Theorem for Scattering Computation from Random Rough Surface.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Three-Dimensional Finite Difference Time Domain Simulation for Scattering Computation from Soil Surface.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Evaluating Scattered Electromagnetic Field from Fractal Surface Using its Components.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018