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Improved Ocean Wind Speed Retrieval Using GNSS-R, Stare Processing, and Machine Learning.

, , , and . IGARSS, page 6775-6778. IEEE, (2022)

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A Machine Learning Framework for Real Data Gnss-R Wind Speed Retrieval., , , and . IGARSS, page 8707-8710. IEEE, (2019)GPS Signal Land Reflection Coherence Dependence on Water Extent and Surface Topography using Cygnss Measurements., , , , and . IGARSS, page 6206-6209. IEEE, (2020)Phase Coherence of GPS Signal Land Reflections and its Dependence on Surface Characteristics., , , and . IEEE Geosci. Remote. Sens. Lett., (2022)Application of Neural Network to GNSS-R Wind Speed Retrieval., , and . IEEE Trans. Geosci. Remote. Sens., 57 (12): 9756-9766 (2019)Simulation Study of the Common Surface Scenario in GNSS-Reflectometry., and . IGARSS, page 3165-3168. IEEE, (2018)Mountaintop Ocean Reflectometry with Dual Frequency GPS Signals: Experiment and Preliminary Results., , , , and . IGARSS, page 7680-7683. IEEE, (2018)Stare Processing Improves GNSS-R, Machine Learning-Based Ocean Wind Speed Retrieval., , , and . IGARSS, page 4080-4083. IEEE, (2023)A New Method for Ocean Wind Direction Retrieval from Delay-Doppler Maps Using Stare Processing and Machine Learning: Preliminary Simulation Results., , and . IGARSS, page 8332-8335. IEEE, (2021)Improved Ocean Wind Speed Retrieval Using GNSS-R, Stare Processing, and Machine Learning., , , and . IGARSS, page 6775-6778. IEEE, (2022)