END-TO-END PHYSICS-INFORMED REPRESENTATION LEARNING FOR SATELLITE OCEAN REMOTE SENSING DATA: APPLICATIONS TO SATELLITE ALTIMETRY AND SEA SURFACE CURRENTS

7 citations as recorded by crossref.

1. Data-Driven Interpolation of Sea Surface Suspended Concentrations Derived from Ocean Colour Remote Sensing Data J. Vient et al. 10.3390/rs13173537
2. Mesoscale-driven dispersion of early life stages of European eel P. Munk et al. 10.3389/fmars.2023.1163125
3. Learning Variational Data Assimilation Models and Solvers R. Fablet et al. 10.1029/2021MS002572
4. Multimodal 4DVarNets for the Reconstruction of Sea Surface Dynamics From SST-SSH Synergies R. Fablet et al. 10.1109/TGRS.2023.3268006
5. Synthesizing Sea Surface Temperature and Satellite Altimetry Observations Using Deep Learning Improves the Accuracy and Resolution of Gridded Sea Surface Height Anomalies S. Martin et al. 10.1029/2022MS003589
6. Four-dimensional temperature, salinity and mixed-layer depth in the Gulf Stream, reconstructed from remote-sensing and in situ observations with neural networks E. Pauthenet et al. 10.5194/os-18-1221-2022
7. Deep learning in airborne particulate matter sensing: a review J. Grant-Jacob & B. Mills 10.1088/2399-6528/aca45e