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2020 – today
- 2024
[j12]Aurélien Colin
, Pierre Tandeo, Charles Peureux, Romain Husson, Nicolas Longépé, Ronan Fablet:
Rain Regime Segmentation of Sentinel-1 Observation Learning From NEXRAD Collocations With Convolution Neural Networks. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024)- [i9]Maxime Beauchamp, Nicolas Desassis, J. Emmanuel Johnson, Simon Benaïchouche, Pierre Tandeo, Ronan Fablet:
SPDE priors for uncertainty quantification of end-to-end neural data assimilation schemes. CoRR abs/2402.01855 (2024) - 2023
- [j11]Sibo Cheng, César Quilodrán Casas, Said Ouala, Alban Farchi, Che Liu, Pierre Tandeo, Ronan Fablet, Didier Lucor, Bertrand Iooss, Julien Brajard, Dunhui Xiao, Tijana Janjic, Weiping Ding, Yike Guo, Alberto Carrassi, Marc Bocquet, Rossella Arcucci:
Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review. IEEE CAA J. Autom. Sinica 10(6): 1361-1387 (2023) - [j10]Aurélien Colin, Pierre Tandeo, Charles Peureux, Romain Husson, Ronan Fablet:
Reduction of Rain-Induced Errors for Wind Speed Estimation on SAR Observations Using Convolutional Neural Networks. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 8586-8594 (2023) - [i8]Aurélien Colin, Pierre Tandeo, Charles Peureux, Romain Husson, Ronan Fablet:
Reduction of rain-induced errors for wind speed estimation on SAR observations using convolutional neural networks. CoRR abs/2303.09200 (2023) - [i7]Sibo Cheng, César Quilodrán Casas, Said Ouala, Alban Farchi, Che Liu, Pierre Tandeo, Ronan Fablet, Didier Lucor, Bertrand Iooss, Julien Brajard, Dunhui Xiao, Tijana Janjic, Weiping Ding, Yike Guo, Alberto Carrassi, Marc Bocquet, Rossella Arcucci:
Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review. CoRR abs/2303.10462 (2023) - [i6]Maximiliano A. Sacco, Manuel Pulido, Juan J. Ruiz, Pierre Tandeo:
Online machine-learning forecast uncertainty estimation for sequential data assimilation. CoRR abs/2305.08874 (2023) - 2022
- [j9]Aurélien Colin, Ronan Fablet, Pierre Tandeo, Romain Husson, Charles Peureux, Nicolas Longépé, Alexis Mouche:
Semantic Segmentation of Metoceanic Processes Using SAR Observations and Deep Learning. Remote. Sens. 14(4): 851 (2022) - [j8]Elodie Martinez, Anouar Brini, Thomas Gorgues, Lucas Drumetz, Joana Roussillon, Pierre Tandeo, Guillaume Maze, Ronan Fablet:
Correction: Martinez et al. Neural Network Approaches to Reconstruct Phytoplankton Time-Series in the Global Ocean. Remote Sens. 12, 2020, 4156. Remote. Sens. 14(22): 5669 (2022) - [c11]Aurélien Colin, Charles Peureux, Romain Husson, Ronan Fablet, Pierre Tandeo:
Segmentation of Rainfall Regimes by Machine Learning on a Colocalized Nexrad/Sentinel-1 Dataset. IGARSS 2022: 307-309 - [d1]Etienne Pauthenet, Loïc Bachelot, Anne-Marie Tréguier, Kevin Balem, Guillaume Maze, Fabien Roquet, Ronan Fablet, Pierre Tandeo:
Gulf Stream Daily Temperature, Salinity and Mixed Layer Depth fields from Ocean Stratification network (OSnet). Zenodo, 2022
- [i5]Carlos Granero-Belinchón, Stéphane G. Roux, Nicolas B. Garnier, Pierre Tandeo, Bertrand Chapron, Alexis Mouche:
Two-dimensional structure functions to characterize convective rolls in the marine atmospheric boundary layer from Sentinel-1 SAR images. CoRR abs/2202.08538 (2022) - [i4]Aurélien Colin, Pierre Tandeo, Charles Peureux, Romain Husson, Nicolas Longépé, Ronan Fablet:
Rain Rate Estimation with SAR using NEXRAD measurements with Convolutional Neural Networks. CoRR abs/2207.07333 (2022) - 2021
- [j7]Abderrahim Bentamy, Semyon A. Grodsky, Gildas Cambon, Pierre Tandeo, Xavier Capet, Claude Roy, Steven Herbette, Antoine Grouazel:
Twenty-Seven Years of Scatterometer Surface Wind Analysis over Eastern Boundary Upwelling Systems. Remote. Sens. 13(5): 940 (2021) - [c10]Aurélien Colin, Charles Peureux, Romain Husson, Nicolas Longépé, Régis Rauzy, Ronan Fablet, Pierre Tandeo, Samir Saoudi, Alexis Mouche, Gérald Dibarboure:
Segmentation of Sentinel-1 SAR Images Over the Ocean, Preliminary Methods and Assessments. IGARSS 2021: 4067-4070 - [i3]Maximiliano A. Sacco, Juan J. Ruiz, Manuel Pulido, Pierre Tandeo:
Evaluation of Machine Learning Techniques for Forecast Uncertainty Quantification. CoRR abs/2111.14844 (2021) - 2020
- [j6]Elodie Martinez, Anouar Brini, Thomas Gorgues, Lucas Drumetz, Joana Roussillon, Pierre Tandeo, Guillaume Maze, Ronan Fablet:
Neural Network Approaches to Reconstruct Phytoplankton Time-Series in the Global Ocean. Remote. Sens. 12(24): 4156 (2020)
2010 – 2019
- 2019
- [c9]Chen Wang, Alexis Mouche, Ralph C. Foster, Douglas C. Vandemark, Justin Edward Stopa, Pierre Tandeo, Nicolas Longépé, Bertrand Chapron:
Characteristics of Marine Atmospheric Boundary Layer Roll Vortices from Sentinel-1 Sar Wave Mode. IGARSS 2019: 7908-7911 - [i2]Gautier Cosne, Guillaume Maze, Pierre Tandeo:
Coupling Oceanic Observation Systems to Study Mesoscale Ocean Dynamics. CoRR abs/1910.08573 (2019) - 2018
- [j5]Stéphane Saux Picart, Pierre Tandeo, Emmanuelle Autret, Blandine Gausset:
Exploring Machine Learning to Correct Satellite-Derived Sea Surface Temperatures. Remote. Sens. 10(2): 224 (2018) - [c8]Redouane Lguensat, Miao Sun, Ronan Fablet, Pierre Tandeo, Evan Mason, Ge Chen:
EddyNet: A Deep Neural Network For Pixel-Wise Classification of Oceanic Eddies. IGARSS 2018: 1764-1767 - [c7]Chen Wang, Alexis Mouche, Pierre Tandeo, Justin Stopa, Bertrand Chapron, Ralph Foster, Douglas C. Vandemark:
Automated Geophysical Classification of Sentinel-L Wave Mode Sar Images Through Deep-Learning. IGARSS 2018: 1776-1779 - 2017
- [i1]Redouane Lguensat, Miao Sun, Ronan Fablet, Evan Mason, Pierre Tandeo, Ge Chen:
EddyNet: A Deep Neural Network For Pixel-Wise Classification of Oceanic Eddies. CoRR abs/1711.03954 (2017) - 2016
- [j4]Xuan Wang, Pierre Tandeo, Ronan Fablet, Romain Husson, Lei Guan, Ge Chen:
Validation and Parameter Sensitivity Tests for Reconstructing Swell Field Based on an Ensemble Kalman Filter. Sensors 16(12): 2000 (2016) - [j3]Clément Le Goff, Ronan Fablet, Pierre Tandeo, Emmanuelle Autret, Bertrand Chapron:
Spatio-Temporal Decomposition of Satellite-Derived SST-SSH Fields: Links Between Surface Data and Ocean Interior Dynamics in the Agulhas Region. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(11): 5106-5112 (2016) - [c6]Redouane Lguensat, Ronan Fablet, Pierre Ailliot, Pierre Tandeo:
An exemplar-based hidden Markov model framework for nonlinear state-space models. EUSIPCO 2016: 2340-2344 - [c5]Manuel Lopez-Radcenco, Abdeldjalil Aïssa-El-Bey, Pierre Ailliot, Pierre Tandeo, Ronan Fablet:
Non-negative decomposition of linear relationships: Application to multi-source ocean remote sensing data. ICASSP 2016: 4179-4183 - 2015
- [c4]Redouane Lguensat, Pierre Tandeo, Ronan Fablet, Pierre Ailliot:
Non-parametric Ensemble Kalman methods for the inpainting of noisy dynamic textures. ICIP 2015: 4288-4292 - 2014
- [j2]Pierre Tandeo, Bertrand Chapron, Sileye O. Ba, Emmanuelle Autret, Ronan Fablet:
Segmentation of Mesoscale Ocean Surface Dynamics Using Satellite SST and SSH Observations. IEEE Trans. Geosci. Remote. Sens. 52(7): 4227-4235 (2014) - [c3]Pierre Tandeo, Ronan Fablet, Pierre Ailliot:
Ocean surface current retrieval using a non homogeneous Markov-switching multi-regime model. ICIP 2014: 2968-2972 - [c2]Pierre Tandeo, Ronan Fablet, Pierre Ailliot:
Hidden surface dynamical modes and SSH retrievals from a joint analysis of altimetry and microwave SST. IGARSS 2014: 5123-5125 - 2013
- [c1]Pierre Tandeo, Sileye O. Ba, Ronan Fablet, Bertrand Chapron, Emmanuelle Autret:
Spatio-temporal segmentation and estimation of ocean surface currents from satellite sea surface temperature fields. ICIP 2013: 2344-2348
2000 – 2009
- 2009
- [j1]Pierre Tandeo, Emmanuelle Autret, Jean-François Piollé, Jean Tournadre, Pierre Ailliot:
A Multivariate Regression Approach to Adjust AATSR Sea Surface Temperature to In Situ Measurements. IEEE Geosci. Remote. Sens. Lett. 6(1): 8-12 (2009)
Coauthor Index
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