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Carlos Granero Belinchon

Researcher identifiers
  • IdHAL carlos-granero-belinchon
  • ORCID 0000-0002-4095-0807
  • Google Scholar :


Carlos Granero Belinchón is graduated in physics from the Universidad Autónoma de Madrid, Spain, 2014. Next to a Master diploma in plasma physics from Paris VI and École Polytechnique, he received the PH.D. degree in physics and signal processing from the ENS de Lyon, France, 2018. From 2018 to 2020, he was a post-doctoral fellow at ONERA, Toulouse. Currently, he is an associate professor in the Mathematical and Electrical Engineering department of IMT Atlantique, and member of the Ocean Signal and Environment group of Lab-STICC. His research lives in the interface between non-linear physics and signal and image processing. Thus, it mainly deals with the development of new statistical signal processing methodologies for the study of complex processes and systems. He is particularly interested by multi-scale modelling, scale-invariance phenomena and multi-resolution analysis as well as by using this kind of approaches for the characterization of turbulent phenomena and ocean dynamics.
Carlos Granero Belinchón est licencié en physique par l'Universidad Autónoma de Madrid, Espagne, 2014. Après avoir obtenu un diplôme de Master en physique de plasmas à l'université Paris VI et l'École Polytechnique, il a obtenu un doctorat en physique et traitement de signal à l'ENS de Lyon, France, 2018. Entre 2018 et 2020, il a occupé une position post-doctorale à l'ONERA de Toulouse. Actuellement, il est enseignant chercheur dans le département Mathematical and Electrical Engineering de l'IMT Atlantique, et membre de l'équipe Ocean Signal and Environment du Lab-STICC. Sa recherche se trouve à l'interface entre la physique non-lineaire et le traitement de signal et image. Ainsi, elle concerne principalement le développement de nouvelles méthodologies d'analyse statistique du signal pour l'étude de processus et systèmes complexes. Il est principalement intéressé par la modélisation multi-échelles, le phenomène d'invariance d'échelle et l'analyse multirésolution ainsi que par l'utilisation de ce type d'approches pour la caractérisation du phenomène de turbulence et les dynamiques océaniques.


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Neural network based generation of a 1-dimensional stochastic field with turbulent velocity statistics

Carlos Granero-Belinchon
Physica D: Nonlinear Phenomena, 2023, 458, pp.133997. ⟨10.1016/j.physd.2023.133997⟩
Journal articles hal-03861273v3
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Two-dimensional structure functions for characterizing convective rolls in the marine atmospheric boundary layer from Sentinel-1 SAR images

Carlos Granero-Belinchon , Stéphane G. Roux , Nicolas B. Garnier , Pierre Tandeo , Bertrand Chapron
Remote Sensing Letters, 2022, 13 (9), pp.946-957. ⟨10.1080/2150704X.2022.2112107⟩
Journal articles hal-03576400v2
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A New Material-Oriented TES for Land Surface Temperature and SUHI Retrieval in Urban Areas: Case Study over Madrid in the Framework of the Future TRISHNA Mission

Aurélie Michel , Carlos Granero-Belinchon , Charlène Cassante , Paul Boitard , Xavier Briottet
Remote Sensing, 2021, 13 (24), pp.5139. ⟨10.3390/rs13245139⟩
Journal articles hal-03526867v1
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Impact of the number of dates and their sampling on a NDVI time series reconstruction methodology to monitor urban trees with Venμs satellite

Carlos Granero-Belinchon , Karine Adeline , Xavier Briottet
International Journal of Applied Earth Observation and Geoinformation, 2021, 95, pp.102257. ⟨10.1016/j.jag.2020.102257⟩
Journal articles hal-03035937v1
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Quantifying Non-Stationarity with Information Theory

Carlos Granero-Belinchon , Stéphane G. Roux , Nicolas B. Garnier
Journal articles hal-03457502v1
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Spectral unmixing for thermal infrared multi-spectral airborne imagery over urban environments: day and night synergy

Carlos Granero-Belinchon , Aurélie Michel , Véronique Achard , Xavier Briottet
Remote Sensing, 2020, 12 (11), pp.1871. ⟨10.3390/rs12111871⟩
Journal articles hal-02776492v2
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Phenological Dynamics Characterization of Alignment Trees with Sentinel-2 Imagery: A Vegetation Indices Time Series Reconstruction Methodology Adapted to Urban Areas

Carlos Granero-Belinchon , Karine Adeline , Aude Lemonsu , Xavier Briottet
Remote Sensing, 2020, 12 (4), pp.639. ⟨10.3390/rs12040639⟩
Journal articles hal-03035307v1
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Night Thermal Unmixing for the Study of Microscale Surface Urban Heat Islands with TRISHNA-Like Data

Carlos Granero-Belinchon , Aurelie Michel , Jean-Pierre Lagouarde , José A. Sobrino , Xavier Briottet
Remote Sensing, 2019, 11 (12), pp.1449. ⟨10.3390/rs11121449⟩
Journal articles hal-02181505v1
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Information theory for non-stationary processes with stationary increments

Carlos Granero-Belinchon , Stéphane G. Roux , Nicolas Garnier
Entropy, 2019, Information Theoretic Measures and Their Applications, 21 (12), pp.1223. ⟨10.3390/e21121223⟩
Journal articles hal-02395022v1
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Probing high order dependencies with information theory

Carlos Granero-Belinchon , Stéphane G. Roux , Patrice Abry , Nicolas B. Garnier
IEEE Transactions on Signal Processing, 2019, 67 (14), pp.3796-3805. ⟨10.1109/TSP.2019.2920472⟩
Journal articles hal-01952369v1
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Multi-Resolution Study of Thermal Unmixing Techniques over Madrid Urban Area: Case Study of TRISHNA Mission

Carlos Granero-Belinchon , Aurelie Michel , Jean-Pierre Lagouarde , José Antonio Sobrino , Xavier Briottet
Remote Sensing, 2019, 11 (10), pp.1251. ⟨10.3390/rs11101251⟩
Journal articles hal-02296785v1
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A Kullback-Leibler divergence measure of intermittency: application to turbulence

Carlos Granero-Belinchon , Stephane G. Roux , Nicolas B. Garnier
Physical Review E , 2018, 97 (1), pp.013107. ⟨10.1103/PhysRevE.97.013107⟩
Journal articles hal-01565513v1
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Information Theory to probe Intrapartum Fetal Heart Rate Dynamics

Carlos Granero-Belinchon , Stéphane G. Roux , Patrice Abry , Muriel Doret , Nicolas B. Garnier
Entropy, 2017, 19 (12), ⟨10.3390/e19120640⟩
Journal articles hal-01646840v1
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Scaling of Information in Turbulence

Carlos Granero-Belinchon , Stephane G. Roux , Nicolas B. Garnier
Europhysics Letterss, 2016
Journal articles ensl-01346603v2
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Deep learning for Lagrangian drift simulation at the sea surface

Daria Botvynko , Carlos Granero-Belinchon , Simon Van Gennip , Abdesslam Benzinou , Ronan Fablet
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2023), Jun 2023, Rhodes, Greece
Conference papers hal-03852489v1

Deep Learning approaches to simulate Lagrangian particle dynamics at sea surface

Daria Botvynko , Carlos Granero-Belinchon , Abdesslam Benzinou , Ronan Fablet , Simon Van Gennip
Sea Tech Week 2022, Session "Marine Litter Solutions for Monitoring Mitigation and Prevention", Sep 2022, BREST, France
Conference papers hal-03795063v1
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Convolutional Neural Network Modelling for MODIS Land Surface Temperature Super-Resolution

Binh Minh Nguyen , Ganglin Tian , Minh-Triet Vo , Aurélie Michel , Thomas Corpetti
2022 30th European Signal Processing Conference (EUSIPCO), Aug 2022, Belgrade, Serbia. ⟨10.23919/EUSIPCO55093.2022.9909569⟩
Conference papers hal-03580148v2

Land Surface Temperature Retrieval over Urban areas from simulated TRISHNA data

Aurélie Michel , Laure Roupioz , Carlos Granero-Belinchon , Xavier Briottet
2019 Joint Urban Remote Sensing Event (JURSE), May 2019, Vannes, France. pp.1-4, ⟨10.1109/jurse.2019.8808979⟩
Conference papers hal-03195869v1
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Mutual Information for Intrapartum fetal Heart Rate Analysis

Carlos Granero-Belinchon , Stéphane G. Roux , Nicolas Garnier , Patrice Abry , Muriel Doret
EMBC 2017, Jul 2017, Jeju Island, South Korea
Conference papers ensl-01637094v1