Redouane Lguensat

Yuting Yang, Kin-Man Lam, Xin Sun, Junyu Dong, Redouane Lguensat. An Efficient Algorithm for Ocean-Front Evolution Trend Recognition. Remote Sensing, MDPI, 2022, 14 (2), pp.259. ⟨10.3390/rs14020259⟩. ⟨hal-03542573⟩

Hugo Frezat, Guillaume Balarac, Julien Le Sommer, Ronan Fablet, Redouane Lguensat. Physical invariance in neural networks for subgrid-scale scalar flux modeling. Physical Review Fluids, American Physical Society, 2021, 6 (2), ⟨10.1103/PhysRevFluids.6.024607⟩. ⟨hal-03084215v2⟩

Maike Sonnewald, Redouane Lguensat, Daniel C. Jones, Peter D. Dueben, Julien Brajard, et al.. Bridging observations, theory and numerical simulation of the ocean using machine learning. Environmental Research Letters, IOP Publishing, 2021, 16 (7), pp.073008. ⟨10.1088/1748-9326/ac0eb0⟩. ⟨hal-03311328⟩

Redouane Lguensat, Phi Huynh Viet, Miao Sun, Ge Chen, Tian Fenglin, et al.. Data-driven Interpolation of Sea Level Anomalies using Analog Data Assimilation. Remote Sensing, MDPI, 2019, ⟨10.3390/rs11070858⟩. ⟨hal-01609851⟩

Ronan Fablet, Phi Viet, Redouane Lguensat, Pierre-Henri Horrein, Bertrand Chapron. Spatio-Temporal Interpolation of Cloudy SST Fields Using Conditional Analog Data Assimilation. Remote Sensing, MDPI, 2018, 10 (2), ⟨10.3390/rs10020310⟩. ⟨hal-01757755⟩

Ronan Fablet, Phi Huynh Viet, Redouane Lguensat. Data-driven Models for the Spatio-Temporal Interpolation of satellite-derived SST Fields. IEEE Transactions on Computational Imaging, IEEE, 2017, pp.647 - 657. ⟨10.1109/TCI.2017.2749184⟩. ⟨hal-01656178⟩

Redouane Lguensat, Pierre Tandeo, Pierre Ailliot, Manuel Pulido, Ronan Fablet. The Analog Data Assimilation. Monthly Weather Review, American Meteorological Society, 2017, 145 (10), pp.4093 - 4107. ⟨10.1175/MWR-D-16-0441.1⟩. ⟨hal-01609141⟩

Yuting Yang, Junyu Dong, Xin Sun, Redouane Lguensat, Muwei Jian, et al.. Ocean Front Detection From Instant Remote Sensing SST Images. IEEE Geoscience and Remote Sensing Letters, IEEE - Institute of Electrical and Electronics Engineers, 2016, 13 (12), pp.1960 - 1964. ⟨10.1109/LGRS.2016.2618941⟩. ⟨hal-01439570⟩

Redouane Lguensat, Ronan Fablet, Julien Le Sommer, Sammy Metref, Emmanuel Cosme, et al.. Filtering Internal tides from wide-swath altimeter data using Convolutional Neural Networks.. IGARSS 2020: IEEE International Geoscience and Remote Sensing Symposium, Sep 2020, Waikoloa, United States. ⟨10.1109/IGARSS39084.2020.9323531⟩. ⟨hal-02941320⟩

Redouane Lguensat, Julien Le Sommer, Sammy Metref, Emmanuel Cosme, Ronan Fablet. Learning Generalized Quasi-Geostrophic Models Using Deep Neural Numerical Models. NeurIPS 2019 : 33rd Conference on Neural Information Processing Systems, Dec 2019, Vancouver, Canada. ⟨hal-02366600⟩

Redouane Lguensat, Julien Le Sommer, Sammy Metref, Emmanuel Cosme, Ronan Fablet. Inferring hidden equations using Quasi-Geostrophic theory guided machine learning. EGU 2019 : General Assembly 2019 of the European Geosciences Union, 2019, Vienna, Austria. pp.2019 - 15250. ⟨hal-02285699⟩

Thierry Penduff, Sally Close, Mickaël Lalande, Redouane Lguensat, Sabrina Speich. Atténuation de la variabilité chaotique observée par altimétrie.. Journées 2019 du Groupe Mission MERCATOR/CORIOLIS, Jun 2019, Toulon, France. ⟨hal-03000767⟩

Thierry Penduff, Mickaël Lalande, Redouane Lguensat, Sally Close, Sabrina Speich. Attenuating the ocean chaotic variability in altimetric observations: from band-pass filtering to machine learning. Ocean Surface Topography Science Team (OST/ST) Meeting, Oct 2019, Chicago, United States. ⟨hal-03000854⟩

Redouane Lguensat, Mickaël Lalande, Sally Close, Thierry Penduff. Convolutional Neural Networks for Estimating Atmospherically-forced Sea Level Variations. The 1st Artificial Intelligence for Copernicus Workshop, Nov 2019, Reading, United Kingdom. ⟨hal-03000876⟩

Redouane Lguensat, Mickaël Lalande, Sally Close, Thierry Penduff. Convolutional Neural Networks for Estimating Atmospherically-forced Sea Level Variations. AGU Fall Meeting, Dec 2019, San Francisco, United States. ⟨hal-03000883⟩

Redouane Lguensat, Miao Sun, Ronan Fablet, Evan Mason, Pierre Tandeo, et al.. EddyNet: A Deep Neural Network For Pixel-Wise Classification of Oceanic Eddies. International Geoscience and Remote Sensing Symposium (IGARSS 2018), Jul 2018, Valence, Spain. pp.1764-1767, ⟨10.1109/IGARSS.2018.8518411⟩. ⟨hal-01929509⟩

Ronan Fablet, Redouane Lguensat, Phi Huynh Viet, Pierre Ailliot, Bertrand Chapron, et al.. Analog assimilation for high-dimensional geophysical dynamics. DSE 2017 : Workshop on Data Science and Environment, Jul 2017, Brest, France. ⟨hal-01586349⟩

Ronan Fablet, Phi Huynh Viet, Redouane Lguensat, Bertrand Chapron. Data-driven assimilation of irregularly-sampled image time series. ICIP 2017 : IEEE International Conference on Image Processing, Sep 2017, Beijing, China. ⟨10.1109/ICIP.2017.8297094⟩. ⟨hal-01757749⟩

Redouane Lguensat, Miao Sun, Ge Chen, Fenglin Tian, Ronan Fablet. Spatio-Temporal interpolation of altimeter-derived SSH fields using Analog Data Assimilation: A Case-Study In The South China Sea. IGARSS 2017 : IEEE International Geoscience and Remote Sensing Symposium, Jul 2017, Fort Worth, United States. ⟨10.1109/IGARSS.2017.8127625⟩. ⟨hal-01799854⟩

Ronan Fablet, Phi Huynh Viet, Redouane Lguensat, Bertrand Chapron. Exploiting ocean observation and simulation big data to improve satellite-derived geophysical products: Analog strategies. BiDS'17: Big Data from Space Conference , Nov 2017, Toulouse, France. ⟨hal-01801014⟩

Redouane Lguensat, Pierre Tandeo, Pierre Ailliot, Manuel Pulido, Ronan Fablet. Toward data-driven methods in geophysics: the Analog Data Assimilation. EGU 2017 : 19th EGU General Assembly, Apr 2017, Vienne, Austria. ⟨hal-01609890⟩

Redouane Lguensat, Ronan Fablet, Pierre Ailliot, Pierre Tandeo. An Exemplar-based Hidden Markov Model framework for nonlinear state-space models. EUSIPCO 2016 : European Signal Processing Conference, Aug 2016, Budapest, Hungary. pp.1 - 5, ⟨10.1109/EUSIPCO.2016.7760667⟩. ⟨hal-01444213⟩

Redouane Lguensat, Pierre Tandeo, Ronan Fablet, Pierre Ailliot. Non-parametric Ensemble Kalman methods for the inpainting of noisy dynamic textures. ICIP 2015 : IEEE International Conference on Image Processing, Sep 2015, Québec City, Canada. pp.2488-2492, ⟨10.1109/ICIP.2015.7351615⟩. ⟨hal-01271173⟩

Pierre Tandeo, Pierre Ailliot, Bertrand Chapron, Redouane Lguensat, Ronan Fablet. The analog data assimilation: application to 20 years of altimetric data. CI 2015 : 5th International Workshop on Climate Informatics, Sep 2015, Boulder, United States. pp.1 - 2, ⟨10.13140/RG.2.1.4030.5681⟩. ⟨hal-01356222⟩

Redouane Lguensat, Pierre Tandeo, Ronan Fablet, René Garello. Spatio-temporal interpolation of Sea Surface Temperature using high resolution remote sensing data. OCEANS 2014 - St John's : MTS/IEEE international conference, Sep 2014, St. John'S, Canada. pp.1 - 4, ⟨10.1109/OCEANS.2014.7002988⟩. ⟨hal-01188863⟩

Redouane Lguensat, Pierre Tandeo, Pierre Ailliot, Ronan Fablet, Bertrand Chapron. Using archived datasets for missing data interpolation in ocean remote sensing observation series. OCEANS 2016 - Shangai : MTS/IEEE international conference, Apr 2016, Shanghai, China. IEEE/MTS, pp.1 - 6, ⟨10.1109/OCEANSAP.2016.7485433⟩. ⟨hal-01355266⟩

Hugo Frezat, Julien Le Sommer, Ronan Fablet, Guillaume Balarac, Redouane Lguensat. A posteriori learning of quasi-geostrophic turbulence parametrization: an experiment on integration steps. 2022. ⟨hal-03456259v2⟩

Redouane Lguensat, Ronan Fablet, Julien Le Sommer, Sammy Metref, Emmanuel Cosme, et al.. Filtering Internal Tides From Wide-Swath Altimeter Data Using Convolutional Neural Networks. 2020. ⟨hal-03084229⟩

Redouane Lguensat, Julien Le Sommer, Sammy Metref, Emmanuel Cosme, Ronan Fablet. Learning Generalized Quasi-Geostrophic Models Using Deep Neural Numerical Models. 2020. ⟨hal-03084230⟩

Redouane Lguensat. Learning from ocean remote sensing data. Artificial Intelligence [cs.AI]. Ecole nationale supérieure Mines-Télécom Atlantique, 2017. English. ⟨NNT : 2017IMTA0050⟩. ⟨tel-01784196⟩