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CV Carlos Granero Belinchon

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 signal and communications 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.

Journal articles9 documents

  • Carlos Granero-Belinchon, Karine Adeline, Xavier Briottet. Impact of the number of dates and their sampling on a NDVI time series reconstruction methodology to monitor urban trees with Venμs satellite. International Journal of Applied Earth Observation and Geoinformation, Elsevier, 2021, 95, pp.102257. ⟨10.1016/j.jag.2020.102257⟩. ⟨hal-03035937⟩
  • Carlos Granero-Belinchon, Aurélie Michel, Véronique Achard, Xavier Briottet. Spectral unmixing for thermal infrared multi-spectral airborne imagery over urban environments: day and night synergy. Remote Sensing, MDPI, 2020, 12 (11), pp.1871. ⟨10.3390/rs12111871⟩. ⟨hal-02776492v2⟩
  • Carlos Granero-Belinchon, Karine Adeline, Aude Lemonsu, Xavier Briottet. Phenological Dynamics Characterization of Alignment Trees with Sentinel-2 Imagery: A Vegetation Indices Time Series Reconstruction Methodology Adapted to Urban Areas. Remote Sensing, MDPI, 2020, 12 (4), pp.639. ⟨10.3390/rs12040639⟩. ⟨hal-03035307⟩
  • Carlos Granero-Belinchon, Stéphane G. Roux, Nicolas Garnier. Information theory for non-stationary processes with stationary increments. Entropy, MDPI, 2019, Information Theoretic Measures and Their Applications, 21 (12), pp.1223. ⟨10.3390/e21121223⟩. ⟨hal-02395022⟩
  • C Granero-Belinchón, Stéphane Roux, P. Abry, . Probing high order dependencies with information theory. IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2019, 67 (14), pp.3796-3805. ⟨10.1109/TSP.2019.2920472⟩. ⟨hal-01952369⟩
  • Carlos Granero-Belinchon, Aurelie Michel, Jean-Pierre Lagouarde, José Sobrino, Xavier Briottet. Night Thermal Unmixing for the Study of Microscale Surface Urban Heat Islands with TRISHNA-Like Data. Remote Sensing, MDPI, 2019, 11 (12), pp.1449. ⟨10.3390/rs11121449⟩. ⟨hal-02181505⟩
  • Carlos Granero-Belinchon, Aurelie Michel, Jean-Pierre Lagouarde, José Antonio Sobrino, Xavier Briottet. Multi-Resolution Study of Thermal Unmixing Techniques over Madrid Urban Area: Case Study of TRISHNA Mission. Remote Sensing, MDPI, 2019, 11 (10), pp.1251. ⟨10.3390/rs11101251⟩. ⟨hal-02296785⟩
  • Carlos Granero-Belinchon, Stéphane Roux, Patrice Abry, Muriel Doret, Nicolas B. Garnier. Information Theory to probe Intrapartum Fetal Heart Rate Dynamics. Entropy, MDPI, 2017, 19 (12), ⟨10.3390/e19120640⟩. ⟨hal-01646840⟩
  • Carlos Granero-Belinchon, Stephane G. Roux, Nicolas B. Garnier. Scaling of Information in Turbulence. Europhysics Letterss, 2016. ⟨ensl-01346603v2⟩

Conference papers1 document

  • Carlos Granero-Belinchon, Stéphane Roux, Nicolas Garnier, Patrice Abry, Muriel Doret. Mutual Information for Intrapartum fetal Heart Rate Analysis. EMBC 2017, Jul 2017, Jeju Island, South Korea. ⟨ensl-01637094⟩

Preprints, Working Papers, ...1 document

  • Carlos Granero-Belinchon, Stephane G. Roux, Nicolas B. Garnier. A Kullback-Leibler divergence measure of intermittency: application to turbulence . 2017. ⟨hal-01565513⟩

Theses1 document