{"id":66,"date":"2019-06-19T16:15:51","date_gmt":"2019-06-19T14:15:51","guid":{"rendered":"https:\/\/project.inria.fr\/seacs\/?page_id=66"},"modified":"2019-06-19T16:17:36","modified_gmt":"2019-06-19T14:17:36","slug":"publications","status":"publish","type":"page","link":"https:\/\/project.inria.fr\/seacs\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"<p>&nbsp;<\/p>\n<ul>\n<li id=\"aui_3_4_0_1_373\"><label id=\"aui_3_4_0_1_372\"> R. Fablet, P. Viet, R. Lguensat, P.-H. Horrein, B. Chapron.: <\/label> <a href=\"http:\/\/www.mdpi.com\/2072-4292\/10\/2\/310\"> Spatio-temporal interpolation of cloudy SST fields using conditional Analog Data Assimilation <\/a> <label> Remote Sensing <\/label> <label> : 2018 <\/label><\/li>\n<li><label> Bertrand Chapron, Pierre D\u00e9rian, Etienne M\u00e9min, Valentin Resseguier: <\/label> <a href=\"http:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/qj.3198\/full\"> Large scale flows under location uncertainty: a consistent stochastic framework <\/a> <label> Quarterly Journal of the Royal Meteorological Society <\/label> <label> : 2018 <\/label><\/li>\n<li><label> R. Fablet, J. Verron, B. Mourre, B. Chapron, A. Pascual: <\/label> <a href=\"https:\/\/www.researchgate.net\/publication\/308734936_Improving_mesoscale_altimetric_data_from_a_multi-tracer_convolutional_processing_of_standard_satellite-derived_products\"> Improving mesoscale altimetric data from a multi-tracer convolutional processing of standard satellite-derived products <\/a> <label> IEEE Trans. on Geoscience and Remote Sensing <\/label> <label> : 2017 <\/label><\/li>\n<li><label> R. Lguensat, P. Tandeo, P. Aillot, R. Fablet: <\/label> <a href=\"https:\/\/www.researchgate.net\/publication\/309742591_The_Analog_Data_Assimilation\"> The Analog Data Assimilation <\/a> <label> Monthly Weather Review <\/label> <label> : 2017 <\/label><\/li>\n<li><label> R. Fablet, P. Viet, R. Lguensat: <\/label> <a href=\"https:\/\/www.researchgate.net\/publication\/319474901_Data-driven_Models_for_the_Spatio-Temporal_Interpolation_of_satellite-derived_SST_Fields\"> Data-driven Methods for Spatio-Temporal Interpolation of Sea Surface Temperature Images <\/a> <label> IEEE Trans. on Computational Imaging <\/label> <label> : 2017 <\/label><\/li>\n<li><label> R. Fablet, P. Viet, R. Lguensat, B. Chapron: <\/label> <strong>Exploiting ocean observation and simulation big data to improve satellite-derived geophysical products: Analog strategies<\/strong> <label> Big Data from Space Conference, BiDS\u201917 <\/label> <label> : 2017 <\/label><\/li>\n<li><label> M. L\u00f3pez-Radcenco, A. A\u00efssa-El-Bey, P. Ailliot, R. Fablet: <\/label> <strong>Locally-adapted convolution-based super-resolution of irregularly-sampled ocean remote sensing data.<\/strong> <label> IEEE Conf. on Image Processing, ICIP\u20192017 <\/label> <label> : 2017 <\/label><\/li>\n<li><label> R. Fablet, P. Viet, R. Lguensat: <\/label> <strong>Data-driven assimilation of irregularly-sampled image time series<\/strong> <label> IEEE Conf. on Image Processing, ICIP\u20192017 <\/label> <label> : 2017 <\/label><\/li>\n<li><label> R. Lguensat, M. Sun, F. Tian, G. Chen, R. Fablet: <\/label> <strong>Spatio-temporal interpolation of altimeter-derived SSH fields using analog data assimilation: a case-study in the South China Sea<\/strong> <label> IEEE Int. Geoscience and Remote Sensing Symposium, IGARSS&#8217;17 <\/label> <label> : 2017 <\/label><\/li>\n<li><label> R. Fablet, M. Lopez-Radcenco, J. Verron, B. Chapron, B. Mourre, A. Pascual: <\/label> <strong>Learning multi-tracer convolutional models for the reconstruction of high-resolution SSH<\/strong> <label> IEEE Int. Geoscience and Remote Sensing Symposium, IGARSS&#8217;17 <\/label> <label> : 2017 <\/label><\/li>\n<li><label> V. Resseguier, E. M\u00e9min, B. Chapron: <\/label> <a href=\"https:\/\/hal.inria.fr\/hal-01391420v2\/document\"> Geophysical flows under location uncertainty, Part I Random transport and general models <\/a> <label> Geophysical &amp; Astrophysical Fluid Dynamics <\/label> <label> : 2017 <\/label><\/li>\n<li><label> V. Resseguier, E. M\u00e9min, B. Chapron: <\/label> <a href=\"https:\/\/hal.inria.fr\/hal-01391476v2\/document\"> Geophysical flows under location uncertainty, Part II: Quasigeostrophic models and efficient ensemble spreading <\/a> <label> Geophysical &amp; Astrophysical Fluid Dynamics <\/label> <label> : 2017 <\/label><\/li>\n<li><label> V. Resseguier, E. M\u00e9min, B. Chapron: <\/label> <a href=\"https:\/\/hal.inria.fr\/hal-01391484v2\/document\"> Geophysical flows under location uncertainty, Part III: SQG and frontal dynamics under strong turbulence <\/a> <label> Geophysical &amp; Astrophysical Fluid Dynamics <\/label> <label> : 2017 <\/label><\/li>\n<li><label> G. Maze, H. Mercier, R. Fablet, P. Lenca, M. Lopez-Radcenco, P. Tandeo, C. Le Goff, C. Feucher: <\/label> <strong>Ocean heat content structure revealed by un-supervised classification of hydrographic profiles.<\/strong> <label> Progess in Oceanography <\/label> <label> : 2017 <\/label><\/li>\n<li><label> Valentin Resseguier, Etienne M\u00e9min, Dominique Heitz, Bertrand Chapron: <\/label> <a href=\"https:\/\/doi.org\/10.1017\/jfm.2017.467\"> Stochastic modelling and diffusion modes for proper orthogonal decomposition models and small-scale flow analysis <\/a> <label> Journal of Fluid Mechanics <\/label> <label> : 2017 <\/label><\/li>\n<li><label> M. L\u00f3pez-Radcenco, A. A\u00efssa-El-Bey, P. Tand\u00e9o, R. Fablet: <\/label> <strong>Non-negative decomposition of geophysical dynamics.<\/strong> <label> 25th Eur. Symp. on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN\u201917 <\/label> <label> : 2017 <\/label><\/li>\n<li><label> Souleymane Kadri Harouna, Etienne M\u00e9min: <\/label> <a href=\"https:\/\/doi.org\/10.1016\/j.compfluid.2017.08.017\"> Stochastic representation of the Reynolds transport theorem: revisiting large-scale modeling <\/a> <label> Computers and Fluids <\/label> <label> : 2017 <\/label><\/li>\n<li><label> Yin Yang, Etienne M\u00e9min: <\/label> <a href=\"https:\/\/doi.org\/10.1080\/16000870.2017.1308772\"> High-resolution data assimilation through stochastic subgrid tensor and parameter estimation from 4DEnVar <\/a> <label> Tellus A <\/label> <label> : 2017 <\/label><\/li>\n<li><label> R. Lguensat, P. Tandeo, P. Aillot, M. Pulido, R. Fablet: <\/label> <strong>Toward data-driven methods in geophysics: the Analog Data Assimilation<\/strong> <label> EGU Symposium <\/label> <label> : 2017 <\/label><\/li>\n<li><label> Shengze Cai, Etienne M\u00e9min, Pierre D\u00e9rian, Chao Xu: <\/label> <a href=\"https:\/\/link.springer.com\/article\/10.1007\/s00348-017-2458-z\"> Motion Estimation under Location Uncertainty for Turbulent Fluid Flow <\/a> <label> Experiments in Fluids <\/label> <label> : 2017 <\/label><\/li>\n<li><label> L. Gomez-Navarro, A. S\u00e1nchez-\u00adRom\u00e1n, A. Pascual, R. Fablet, I. Hern\u00e1ndez-Carrasco, E. Mason, J. Arcos, D. Oro: <\/label> <strong>Seabird drift as a proxy to estimate surface currents in the western Mediterranean?<\/strong> <label> EGU Symposium <\/label> <label> : 2017 <\/label><\/li>\n<li><label> Pierre D\u00e9rian, Rafael Almar: <\/label> <a href=\"http:\/\/ieeexplore.ieee.org\/document\/7964775\/\"> Wavelet-Based Optical Flow Estimation of Instant Surface Currents From Shore-Based and UAV Videos <\/a> <label> IEEE Transactions on Geoscience and Remote Sensing <\/label> <label> : 2017 <\/label><\/li>\n<li><label> L. Gomez-Navarro, R. Fablet, A. Pascual, B. Mourre: <\/label> <strong>Investigating SWOT\u2019s capabilities to detect meso and submesoscale eddies in the western Mediterranean<\/strong> <label> EGU Symposium <\/label> <label> : 2017 <\/label><\/li>\n<li><label> Shengze Cai, Etienne M\u00e9min, Pierre D\u00e9rian, Chao Xu: <\/label> <strong>Location Uncertainty Principle: Toward the Definition of Parameter-free Motion Estimators<\/strong> <label> EMMCVPR 2017 &#8211; 11th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition <\/label> <label> : 2017 <\/label><\/li>\n<li><label> Rafael Almar, Alexandre Lerma, Pierre D\u00e9rian, Bruno Castelle, Timothy Scott: <\/label> <strong>Transient Surf Zone Circulation Induced by Rhythmic Swash Zone at a Reflective Beach<\/strong> <label> Coastal Dynamics 2017 <\/label> <label> : 2017 <\/label><\/li>\n<li><label> Kyle Rocha-Brownell, Pierre D\u00e9rian, David Richter, Peter Sullivan, Shane Mayor: <\/label> <strong>Evaluation of a wavelet-based optical flow algorithm through the use of large eddy simulations<\/strong> <label> 28th International Laser Radar Conference <\/label> <label> : 2017 <\/label><\/li>\n<li><label> Musaab Khalid, Lionel P\u00e9nard, Etienne M\u00e9min: <\/label> <strong>Application of optical flow for river velocimetry<\/strong> <label> IGARSS 2017 &#8211; 37th IEEE Geoscience and Remote Sensing Symposium <\/label> <label> : 2017 <\/label><\/li>\n<li><label> P. Tandeo, P. Ailliot, R. Fablet, R. Lguensat: <\/label> <a href=\"https:\/\/cna-2016.sciencesconf.org\/122955\"> The Analog Data Assimilation <\/a> <label> Colloque National d&#8217;Assimilation, CNA&#8217;2016 (invited talk) <\/label> <label> : 2016 <\/label><\/li>\n<li><label> R. Lguensat, M. Sun, G. Chen, T. Li, R. Fablet: <\/label> <strong>Analog data assimilation for short space-time scales in mapping along-track ocean altimetry<\/strong> <label> Colloque National sur l\u2019Assimilation de donn\u00e9es, CNA&#8217;2016 <\/label> <label> : 2016 <\/label><\/li>\n<li><label> Fablet, R. , F. Rousseau.: <\/label> <strong>Joint interpolation of multi-sensor sea surface geophysical fields using non-local and statistical priors.<\/strong> <label> IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. <\/label> <label> : 2016 <\/label><\/li>\n<li><label> He-Guelton, L. Fablet, R., Chapron, B., Tournadre, J.: <\/label> <strong>Learning-based Emulation of Sea Surface Wind Fields from Numerical Model Outputs and SAR Data.<\/strong> <label> IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. <\/label> <label> : 2016 <\/label><\/li>\n<li><label> M. Lo\u0301pez-Radcenco, A. Ai\u0308ssa-El-Bey, P. Ailliot, P. Tande\u0301o, R. Fablet.: <\/label> <strong>Non-negative decomposition of linear relationships: application to multi-source ocean remote sensing data.<\/strong> <label> Proc. 41st Int. Conf. on Acoustics, Speech and Signal Processing, ICASSP&#8217;2016, Shanghai, China. <\/label> <label> : 2016 <\/label><\/li>\n<li><label> R. Lguensat, P. Tandeo, P. Aillot, B. Chapron, R. Fablet.: <\/label> <strong>Using archived datasets for missing data interpolation in ocean remote sensing observation series<\/strong> <label> IEEE OCEANS&#8217;2016, Shanghai <\/label> <label> : 2016 <\/label><\/li>\n<li><label> V. Resseguier, E. M\u00e9min, B. Chapron: <\/label> <a href=\"http:\/\/www.irisa.fr\/prive\/memin\/publications.html\"> Oceanic models under uncertainty <\/a> <label> CMG 2016 : 31st IUGG Conference on Mathematical Geophysics <\/label> <label> : 2016 <\/label><\/li>\n<li><label> V. Resseguier, E. M\u00e9min, B. Chapron: <\/label> <strong>Likely chaotic transitions of large-scale fluid flows using a stochastic transport model<\/strong> <label> 9th Chaos Modeling and Simulation International Conference (CHAOS2016) <\/label> <label> : 2016 <\/label><\/li>\n<li><label> A. Ducoureau, R. Fablet: <\/label> <strong>Deep Learning for Ocean Remote Sensing: An Application of Convolutional Neural Networks for Super-Resolution on Satellite-Derived SST Data.<\/strong> <label> 9th workshop on Pattern Recognition and Remote Sesning, PRRS&#8217;16 <\/label> <label> : 2016 <\/label><\/li>\n<li><label> R. Fablet, J. Verron, B. Mourre, Antonio Sanchez-Rom\u00e0n, B. Chapron, A. Pascual: <\/label> <strong>Improving mesoscale altimetric data in the Mediterranean Sea: convolutional retreatment of AVISO products and use of SSH\/SST synergy<\/strong> <label> OSTST workshop <\/label> <label> : 2016 <\/label><\/li>\n<li><label> P. Tandeo, P. Ailliot, B. Chapron, R. Lguensat, R. Fablet.: <\/label> <strong>The analog data assimilation: application to 20 years of altimetric data.<\/strong> <label> 5th International Workshop on Climate Informatics, Boulder (Colorado) <\/label> <label> : 2015 <\/label><\/li>\n<li><label> R. Fablet, F. Rousseau.: <\/label> <strong>Non-local super-resolution of missing data in multi-sensor observations of sea surface geophysical fields.<\/strong> <label> IEEE Int. Geoscience and Remote Sensing Symposium, IGARSS&#8217;2015, Milano. <\/label> <label> : 2015 <\/label><\/li>\n<li><label> C. Le Goff, R. Fablet, P. Tandeo, B. Chapron.: <\/label> <strong>Spatial decomposition of SST-SSH relationships in relation to the identification of SQG-like upper ocean dynamics from space.<\/strong> <label> IEEE Int. Geoscience and Remote Sensing Symposium, IGARSS&#8217;2015, Milano. <\/label> <label> : 2015 <\/label><\/li>\n<li><label> R. Fablet, F. Rousseau.: <\/label> <strong>Missing data super-resolution using non-local and statistical priors.<\/strong> <label> Proc. 19th IEEE Int. Conf. on Image Processing, ICIP&#8217;2014, Quebec. <\/label> <label> : 2015 <\/label><\/li>\n<li><label> V. Resseguier, E. M\u00e9min, B. Chapron: <\/label> <a href=\"http:\/\/www.irisa.fr\/prive\/memin\/publications.html\"> Reduced flow models from a stochastic Navier-Stokes representation <\/a> <label> Annales de l&#8217;ISUP <\/label> <label> : 2015 <\/label><\/li>\n<li><label> B. Comb\u00e9s, D. Heitz, A. Guibert and E. M\u00e9min: <\/label> <a href=\"http:\/\/www.irisa.fr\/prive\/memin\/publications.html\"> A particle filter to reconstruct a free-surface flow from a depth camera <\/a> <label> Fluid Dynamics Research <\/label> <label> : 2015 <\/label><\/li>\n<li><label> Y. Yang, C. Robinson, D. Heitz and E., M\u00e9min: <\/label> <a href=\"http:\/\/www.irisa.fr\/prive\/memin\/publications.html\"> Enhanced ensemble-based 4DVar scheme for data assimilation <\/a> <label> Computer and Fluids <\/label> <label> : 2015 <\/label><\/li>\n<li><label> V. Resseguier, E. M\u00e9min, B. Chapron: <\/label> <strong>Stochastic Reynolds theorem and generalized subgrid tensor<\/strong> <label> 15th European Turbulence Conference, <\/label> <label> : 2015 <\/label><\/li>\n<li><label> V. Resseguier, E. M\u00e9min, B. Chapron: <\/label> <strong>Stochastic fluid dynamics model and dimensional reduction<\/strong> <label> Int. Symp. on Turbulence and Shear Flow Phenomena, TSFP-9 <\/label> <label> : 2015 <\/label><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>","protected":false},"excerpt":{"rendered":"<p>&nbsp; R. Fablet, P. Viet, R. Lguensat, P.-H. Horrein, B. Chapron.: Spatio-temporal interpolation of cloudy SST fields using conditional Analog Data Assimilation Remote Sensing :\u2026<\/p>\n<p> <a class=\"continue-reading-link\" href=\"https:\/\/project.inria.fr\/seacs\/publications\/\"><span>Continue reading<\/span><i class=\"crycon-right-dir\"><\/i><\/a> <\/p>\n","protected":false},"author":1611,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-66","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/project.inria.fr\/seacs\/wp-json\/wp\/v2\/pages\/66","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/project.inria.fr\/seacs\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/project.inria.fr\/seacs\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/seacs\/wp-json\/wp\/v2\/users\/1611"}],"replies":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/seacs\/wp-json\/wp\/v2\/comments?post=66"}],"version-history":[{"count":2,"href":"https:\/\/project.inria.fr\/seacs\/wp-json\/wp\/v2\/pages\/66\/revisions"}],"predecessor-version":[{"id":83,"href":"https:\/\/project.inria.fr\/seacs\/wp-json\/wp\/v2\/pages\/66\/revisions\/83"}],"wp:attachment":[{"href":"https:\/\/project.inria.fr\/seacs\/wp-json\/wp\/v2\/media?parent=66"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}