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Deep Sensing of Ocean Wave Heights with Synthetic Aperture Radar.

, , , и . AAAI Spring Symposium: MLPS, том 2587 из CEUR Workshop Proceedings, CEUR-WS.org, (2020)

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Marcin Stopa

Frank Stopa

Richard Jörg Stopa

Walli-Ursula Stopat

Justin Lang

 

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Automated Geophysical Classification of Sentinel-L Wave Mode Sar Images Through Deep-Learning., , , , , , и . IGARSS, стр. 1776-1779. IEEE, (2018)Deep Sensing of Ocean Wave Heights with Synthetic Aperture Radar., , , и . AAAI Spring Symposium: MLPS, том 2587 из CEUR Workshop Proceedings, CEUR-WS.org, (2020)Periodicity and patterns of ocean wind and wave climate, и . J. Geophys. Res. Oceans, 119 (8): 5563--5584 (01.08.2014)Intercomparison of wind and wave data from the ECMWF Reanalysis Interim and the NCEP Climate Forecast System Reanalysis, и . Ocean Modelling, (марта 2014)Characteristics of Marine Atmospheric Boundary Layer Roll Vortices from Sentinel-1 Sar Wave Mode., , , , , , , и . IGARSS, стр. 7908-7911. IEEE, (2019)Patterns and cycles in the Climate Forecast System Reanalysis wind and wave data, , , и . Ocean Modelling, (октября 2013)Sea State Impacts on Wind Speed Retrievals From C-Band Radars., , , и . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 10 (5): 2147-2155 (2017)WV-Net: A foundation model for SAR WV-mode satellite imagery trained using contrastive self-supervised learning on 10 million images., , , , , , , и . CoRR, (2024)