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A DNN Framework for Learning Lagrangian Drift With Uncertainty., , , , , , и . CoRR, (2022)Data-driven and learning-based interpolations of along-track Nadir and wide-swath SWOT altimetry observations., , , , и . CI, стр. 22-29. ACM, (2020)Training neural mapping schemes for satellite altimetry with simulation data., , , и . CoRR, (2023)Scale-Aware Neural Calibration for Wide Swath Altimetry Observations., , , и . IEEE Trans. Geosci. Remote. Sens., (2024)Increasing the Observability of Near Inertial Oscillations by a Future ODYSEA Satellite Mission., , , , , , , и . Remote. Sens., 15 (18): 4526 (сентября 2023)Scale-aware neural calibration for wide swath altimetry observations., , , и . CoRR, (2023)Investigating the Performance of Four Empirical Cross-Calibration Methods for the Proposed SWOT Mission., и . Remote. Sens., 6 (6): 4831-4869 (2014)Intercomparison of Data-Driven and Learning-Based Interpolations of Along-Track Nadir and Wide-Swath SWOT Altimetry Observations., , , , и . Remote. Sens., 12 (22): 3806 (2020)A DNN Framework for Learning Lagrangian Drift With Uncertainty., , , , , , и . Appl. Intell., 53 (20): 23729-23739 (октября 2023)Joint calibration and mapping of satellite altimetry data using trainable variational models., , , и . CoRR, (2021)