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Semantic Segmentation of Metoceanic Processes Using SAR Observations and Deep Learning.

, , , , , , and . Remote. Sens., 14 (4): 851 (2022)

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Correction: Martinez et al. Neural Network Approaches to Reconstruct Phytoplankton Time-Series in the Global Ocean. Remote Sens. 12, 2020, 4156., , , , , , , and . Remote. Sens., 14 (22): 5669 (2022)Two-dimensional structure functions to characterize convective rolls in the marine atmospheric boundary layer from Sentinel-1 SAR images., , , , , and . CoRR, (2022)Rain Regime Segmentation of Sentinel-1 Observation Learning From NEXRAD Collocations With Convolution Neural Networks., , , , , and . IEEE Trans. Geosci. Remote. Sens., (2024)Online machine-learning forecast uncertainty estimation for sequential data assimilation., , , and . CoRR, (2023)Segmentation of Rainfall Regimes by Machine Learning on a Colocalized Nexrad/Sentinel-1 Dataset., , , , and . IGARSS, page 307-309. IEEE, (2022)Characteristics of Marine Atmospheric Boundary Layer Roll Vortices from Sentinel-1 Sar Wave Mode., , , , , , , and . IGARSS, page 7908-7911. IEEE, (2019)Non-negative decomposition of linear relationships: Application to multi-source ocean remote sensing data., , , , and . ICASSP, page 4179-4183. IEEE, (2016)Spatio-Temporal Decomposition of Satellite-Derived SST-SSH Fields: Links Between Surface Data and Ocean Interior Dynamics in the Agulhas Region., , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 9 (11): 5106-5112 (2016)Segmentation of Sentinel-1 SAR Images Over the Ocean, Preliminary Methods and Assessments., , , , , , , , , and . IGARSS, page 4067-4070. IEEE, (2021)Spatio-temporal segmentation and estimation of ocean surface currents from satellite sea surface temperature fields., , , , and . ICIP, page 2344-2348. IEEE, (2013)