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Due to the irregular space-time sampling of sea surface observations, the reconstruction of sea surface dynamics is a challenging inverse problem.
Satellite Altimetry
D. B. Chelton, J.C. Ries, B. J. Haines, L.-L. Fu, and P. S. Callahan · 2001
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Potential use of microwave sea surface temperatures for the estimation of ocean currents
J. Isern-Fontanet, B. Chapron, G. Lapeyre, and P. Klein · 2006
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Dynamics of the Upper Oceanic Layers in Terms of Surface Quasigeostrophy Theory
G. Lapeyre and P. Klein · 2006
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Data Assimilation
G. Evensen · 2009
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Diagnosis of vertical velocities in the upper ocean from high resolution sea surface height
P. Klein, J. Isern-Fontanet, G. Lapeyre, G. Roullet, E. Danioux, B. Chapron, S. Le Gentil, and H. Sasaki · 2009
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Tracking oceanic currents by singularity analysis of Microwave Sea Surface Temperature images
A. Turiel, J. Sole, V. Nieves, J. Ballabrera-Poy, and E. Garcia-Ladona · 2009
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Multimodal Deep Learning
J. Ngiam, A. Khosla, M. Kim, J. Nam, H. Lee, and A.Y. Ng · 2011
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The Operational Sea Surface Temperature and Sea Ice Analysis (OSTIA) system
C. J. Donlon, M. Martin, J. Stark, J. Roberts-Jones, E. Fiedler, and W. Xindong · 2012
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Image Denoising and Inpainting with Deep Neural Networks
J. Xie, L. Xu, and E. Chen · 2012
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On the Transfer Function between Surface Fields and the Geostrophic Stream Function in the Mediterranean Sea
J. Isern-Fontanet, M. Shinde, and C. Andersson · 2014
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Dynamic Interpolation of Sea Surface Height and Potential Applications for Future High-Resolution Altimetry Mapping
C. Ubelmann, P. Klein, and L.-L. Fu · 2014
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On Learning Optimized Reaction Diffusion Processes for Effective Image Restoration
Y. Chen, W. Yu, and T. Pock · 2015
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Statistics for Spatio-Temporal Data
N. Cressie and C.K. Wikle · 2015
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The Challenge of Using Future SWOT Data for Oceanic Field Reconstruction
L. Gaultier, C. Ubelmann, and L.-L. Fu · 2015
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3D U-Net: learning dense volumetric segmentation from sparse annotation
O. Cicek, A. Abdulkadir, S.S. Lienkamp, T. Brox, and O. Ronneberger · 2016
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Image Super-Resolution Using Deep Convolutional Networks
C. Dong, C. C. Loy, K. He, and X. Tang · 2016
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Improving the Altimeter-Derived Surface Currents Using High-Resolution Sea Surface Temperature Data: A Feasability Study Based on Model Outputs
M.-H. Rio, R. Santoleri, R. Bourdalle-Badie, A. Griffa, L. Piterbarg, and G. Taburet · 2016
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Convolutional Neural Networks for Inverse Problems in Imaging: A Review
M.T. McCann, K.H. Jin, and M. Unser · 2017
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Construction of Multi-Year Time-Series Profiles of Suspended Particulate Inorganic Matter Concentrations Using Machine Learning Approach
P. R. Renosh, F. Jourdin, (…), and T. Garlan · 2017
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Toward Multimodal Image-to-Image Translation
J.-Y. Zhu, R. Zhang, D. Pathak, T. Darrell, A.A. Efros, O. Wang, and E. Shechtman · 2017
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A bilevel approach for parameter learning in inverse problems
G. Holler, K. Kunisch, and R. C. Barnard · 2018
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Image Inpainting for Irregular Holes Using Partial Convolutions
G. Liu, F.A. Reda, K.J. Shih, T.C. Wang, A. Tao, and B. Catanzaro · 2018
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Using Deep Neural Networks for Inverse Problems in Imaging: Beyond Analytical Methods
A. Lucas, M. Iliadis, R. Molina, and A.K. Katsaggelos · 2018
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MoDL: Model-Based Deep Learning Architecture for Inverse Problems
H. K. Aggarwal, M. P. Mani, and M. Jacob · 2019
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Wind Speed Estimation Using Acoustic Underwater Glider in a Near-Shore Marine Environment
D. Cazau, J. Bonnel, and M. Baumgartner · 2019
Total Deep Variation for Linear Inverse Problems
E. Kobler, A. Effland, K. Kunisch, and T. Pock · 2020
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Mapping Altimetry in the Forthcoming SWOT Era by Back-and-Forth Nudging a One-Layer Quasigeostrophic Model
F. Le Guillou, S. Metref, E. Cosme, C. Ubelmann, M. Ballarotta, J. Le Sommer, and J. Verron · 2020
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Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems
K. Wei, Angelica Aviles-Rivero, J. Liang, Y. Fu, C.-R. Schönlieb, and H. Huang · 2020
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Altimetry for the future: Building on 25 years of progress
S. Abdalla, A. Abdeh Kolahchi, (…), and V. Zinchenko · 2021
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Blending drifters and altimetric data to estimate surface currents: Application in the Levantine Mediterranean and objective validation with different data types
G. Baaklini, L. Issa, M. Fakhri, J. Brajard, G. Fifani, M. Menna, I. Taupier-Letage, A. Bosse, and L. Mortier · 2021
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Towards operational 3D-Var assimilation of chlorophyll Biogeochemical-Argo float data into a biogeochemical model of the Mediterranean Sea
G. Cossarini, L. Mariotti, L. Feudale, A. Mignot, S. Salon, V. Taillandier, A. Teruzzi, and F. D’Ortenzio · 2019
Cited alongside, same era.
End-to-end learning of energy-based representations for irregularly-sampled signals and images
R. Fablet, L. Drumetz, and F. Rousseau · 2019
Cited alongside, same era.
Observing System Evaluation Based on Ocean Data Assimilation and Prediction Systems: On-Going Challenges and a Future Vision for Designing and Supporting Ocean Observational Networks
Y. Fujii, E. Remy, (…), and N. Usui · 2019
Cited alongside, same era.
Deep Video Inpainting
D. Kim, S. Woo, J.-Y. Lee, and I. S. Kweon · 2019
Cited alongside, same era.
Bilevel Integrative Optimization for Ill-posed Inverse Problems
Risheng Liu, Long Ma, Xiaoming Yuan, Shangzhi Zeng, and Jin Zhang · 2019
Cited alongside, same era.
Observational Needs of Sea Surface Temperature
A.G. O’Carroll, E. M. Armstrong, (…) and W. Wimmer · 2019
Cited alongside, same era.
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Assessing the Impact of the Assimilation of SWOT Observations in a Global High-Resolution Analysis and Forecasting System Part 1: Methods
M. Benkiran, G. Ruggiero, E. Greiner, P.-Y. Le Traon, E. Remy, J. M. Lellouche, R. Bourdalle-Badie, Y. Drillet, and B. Tchonang · 2021
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Ocean Currents Reconstruction from a Combination of Altimeter and Ocean Colour Data: A Feasibility Study
D. Ciani, E. Charles, B. Buongiorno Nardelli, M.-H. Rio, and R. Santoleri · 2021
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End-to-end physics-informed representation learning for satellite ocean remote sensing: applications to satellite altimetry and sea surface currents
R. Fablet, M. M. Amar, Q. Febvre, M. Beauchamp, and B. Chapron · 2021
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Learning Variational Data Assimilation Models and Solvers
R. Fablet, B. Chapron, L. Drumetz, E. Memin, O. Pannekoucke, and F. Rousseau · 2021
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Deep learning to infer eddy heat fluxes from sea surface height patterns of mesoscale turbulence
T.M. George, G.E. Manucharyan and A.F. Thompson · 2021
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Reconstructing Ocean Surface Current Combining Altimetry and Future Spaceborne Doppler Data
C. Ubelmann, G. Dibarboure, L. Gaultier, A. Ponte, F. Ardhuin, M. Ballarotta, and Y. Faugere · 2021
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Data-Driven Interpolation of Sea Surface Suspended Concentrations Derived from Ocean Colour Remote Sensing Data
Jean-Marie Vient, Frederic Jourdin, Ronan Fablet, Baptiste Mengual, Ludivine Lafosse, and Christophe Delacourt · 2021
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Plug-and-Play Image Restoration with Deep Denoiser Prior
K. Zhang, Y. Li, W. Zuo, L. Zhang, L. Van Gool, and R. Timofte · 2021
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End-to-end neural interpolation of satellite altimetry data using 4DVarNet schemes
M. Beauchamp, Q. Febvre, H. Georgenthum, and R. Fablet · 2022
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Joint Calibration and Mapping of Satellite Altimetry Data Using Trainable Variational Models
Q. Febvre, R. Fablet, J. Le Sommer, and C. Ubelmann · 2022
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Generative Adversarial Network for Pansharpening With Spectral and Spatial Discriminators
A. Gastineau, J.-F. Aujol, Y. Berthoumieu, and C. Germain · 2022
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Impacts of the Lagrangian Data Assimilation of Surface Drifters on Estimating Ocean Circulation during the Gulf of Mexico Grand Lagrangian Deployment
L. Sun, S. G. Penny, and M. Harrison · 2022
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Release for 4DVarNet-MM-SSH code
R. Fablet and Q. Febvre · 2023
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