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Neural Network Based Quality Control of CYGNSS Wind Retrieval., and . Remote. Sens., 12 (17): 2859 (2020)Observing Freeze-Thaw Transitions Over Land Using Cygnss Measurements., , and . IGARSS, page 6654-6656. IEEE, (2021)Performance Assessment of Cygnss High Wind Retrieval for the Improved EIRP Calibration., and . IGARSS, page 5805-5807. IEEE, (2020)Generation of cygnss level 2 wind speed data products., , , , and . IGARSS, page 2647-2649. IEEE, (2017)Learning-Based Fuzzy Fusion of Multiple Classifiers for Object-Oriented Classification of High Resolution Images., , and . CVIP (1), volume 703 of Advances in Intelligent Systems and Computing, page 63-78. Springer, (2017)Calibration and validation processing for the CYGNSS wind speed retrieval algorithm., , , , and . IGARSS, page 4117-4120. IEEE, (2017)Using Synthetic Cyclone Models for High Wind GNSS-R Calibration, Validation, and Algorithm Development: A CYGNSS Case Study., , , , , , , , , and . IEEE Trans. Geosci. Remote. Sens., (2023)Development and Application of a GNSS-R Error Model for Hurricane Winds., and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2024)Development of the CYGNSS Geophysical Model Function for Wind Speed., and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 12 (1): 66-77 (2019)Active Learning-Based Optimized Training Library Generation for Object-Oriented Image Classification., , , and . IEEE Trans. Geosci. Remote. Sens., 56 (1): 575-585 (2018)