Jean-Yves Tourneret

Professor at INP-ENSEEIHT Toulouse

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Research activities

His research activities are centered around statistical signal and image processing, with a particular interest on Markov Chain Monte Carlo (MCMC) methods and on Detection and Classification.

Publications

List: here

Bayesian methods and MCMC algorithms

Markov Chain Monte Carlo (MCMC) methods are simulation methods which can be used efficiently to solve problems inherent to Bayesian estimation and classification.  Some of my activities are summarized below

• Changepoint detection and segmentation
  Hierarchical Bayesian algorithms combined with MCMC methods can be used efficiently for changepoint detection. These algorithms have been applied to the edge detection in  radar images, the joint segmentation of astronomical time series or the detection of changes in wind date. These works have been carried out in collaboration with Michel Doisy (university of Toulouse, France), Nicolas Dobigeon (University of Toulouse), Marc Lavielle (university Paris) sud and Jeffrey Scargle (Ames Research Center, NASA, Moffett Field).
  
• Bayesian learning for classification and pattern recognition
  MCMC methods can be used to estimate the posterior distribution of a parameter vector conditionally to the different classes. The resulting estimated posteriors are then plugged into the Bayesian classification rule. Interesting results have been obtained for the classification of non-stationary signals, or more recently for the classification of altimetric signals. This work was carried out in collaboration with M. Davy (INRIA, Lille), and C. Doncarli (IRCYN, Nantes).
• Classification of digital modulations
  MCMC methods can be used to estimate the class-conditional distributions of linear and/or nonlinear digital modulations. The resulting Bayes classifier provides good performance when compared to other classifiers. This work was carried out in collaboration with Petar Djuric (university of Stony Brook, New-York), Thierry Robert (CNES, Toulouse) and Nathalie Thomas (University of Toulouse).  The PhD of Anchalee Puengnim was related to this  problem.
• Navigation and localization
  Navigation is receiving increasing interest in Toulouse. Sequential Monte Carlo techniques (Kalman filters, Unscented Kalman filters, particle filters, ...) are known to be interesting tools for estimating the postion of a fixed or moving vehicle. Our main activities within the group have been to develop efficient techniques for mitigating multipath effects and interferences. This activity has been conducted with many collaborators including
  
• Vincent Calmettes and Mohamed Sahmoudi from ISAE-Supaéro, Toulouse
• Anne-Christine Echer and Olivier Julien from ENAC, Toulouse
• Audrey Giremus from the university of Bordeaux
• Arnaud Doucet from the university of Bristish Columbia, Canada
  
• Josep Vidal from the universitat poytecnica de Catalunya (UPC), Barcelona, Spain
• Bertrand Lesot and Charles Dussurgey from Thales avionics, Valence
• Grégoire Duchateau from Thales Alenia Space, Toulouse
• Radar signal processing
  In the context of space time adaptive processing (STAP), Bayesian algorithms can be developped to mitigate clutter heterogeneity.  This work was conducted in collaboration with Olivier Besson and Stéphanie Bidon, both from ISAE-ENSICA, Toulouse.
• Hyperspectral Imagery
  Bayesian algorithms combined with MCMC methods can be used for the so-called linear unmixing problem, which is classically used for hyperspectral images. The main advantage of these algorithms is to provide the full posterior of the abundances which can be for instance used to derive confidence intervals.  Extensions to semi-supervised algorithms allowing endmembers to be estimated jointly with the abundances have also been developed. Part of my activity has also been devoted to the study of non-linear models for the unmixing of hyperspectral images. These models are interesting for images acquired in the presence of multipath or for the analysis of intimate mixtures. More recent works concern the problems of mitigating the effect of endmember variability in spectral unmixing, fusing hyperspectral images with optical images or the online unmixing of hyperspectral images. These works have been made in collaboration with
• Nicolas dobigeon rom INP-ENSEEIHT, Toulouse
• Chein-I Chang from the university of Maryland, Baltimore County, USA
  
• Eric Le Carpentier, Jérome Idier and Said Moussaoui from IRCCYN, Nantes
• Cédric Richard and André Ferrari from the university of Nice
• José Bermudez from the university of Santa Catarina, Florianopolis, Brazil.
• Steve McLaughlin from Heriot Watt university, Edinburgh, Scotland.
• Jose Bioucas Dias from Instituto de Telecomunicaçoes, Lisboa.
• Simon Godsill from Cambridge university.
• Henry Arguello from the university of Bucaramanga.
• Altimetry
  Bayesian algorithms combined with MCMC methods can be used efficiently to estimate the parameters of altimetric waveforms.  Using appropriate prior information allows to improve estimation performance when compared to usual methods such as the maximum likelihood method. This work was conducted in collaboration with Laiba Amarouche and Pierre Thibaut both from Collect Localization Satellite (CLS), Toulouse and with Corinne Mailhes from INP-ENSEEIHT, Toulouse.
• Remote Sensing and Medical Imaging
  
  Bayesian methods are useful tools for solving inverse problems that have been used successfully in many image processing applications related to remote sensing and medical imaging. In recent activities, we have proposed interesting algorithms for the joint segmentation and deconvolution of ultrasound images, the fusion of multiband images or for image super-resolution. We have also studied the problem of EEG source localization using Bayesian methods promoting sparsity of the brain activity. These works have been made in collaboration with

  • Adrian Basarab, Denis Kouamé, Hadj Batatia and Lotfi Chaari from the TCI team of the IRIT laboratory.
• Bayesian Methods for Multifractal Analysis
  
  The local regularity of signals or images can be captured by a multifractal analysis. We have recently developed Bayesian methods allowing multifractality parameters to be estimated. These methods have been applied to different images processing applications including texture analysis. These works have been made in collaboration with

  • Herwig Wendt from the Minds Team of IRIT
  • Patrice Abry from ENS Lyon
    
  • Steve McLaughlin from Heriot Watt university, Edinburgh, Scotland.
• MCMC and Optimization
  
  The ill-posedness of inverse problems can be addressed in several ways. The first idea is to optimize a cost function penalized by an appropriate regularization in order to provide a unique solution. A second way is to introduce a prior distribution for the unknown solution and to solve the problem within a Bayesian framework. We have recently been working on the interactions between these two fields, leading to interesting optimization-within MCMC algorithms. hese works have been made in collaboration with

  • Lotfi Chaari from the TCI team of the IRIT laboratory.
  • Marcelo Pereyra from Heriot Watt university, Edinburgh, Scotland.
  • Caroline Chaux from the Aix-Marseille University, in France.
    

Detection and Classification

Detection and classification have been important research topics in the group for a long time. Here are summarized some recent activities

• Channel change and double-talk detection for echo cancellation
  Recent studies conducted in the group can be used to detect channel changes and double-talk for echo cancellation. This work was conducted in collaboration with Neil Bershad (Irvine university, CA, USA) and Jose Carlos Bermudez (Federal University of Santa Catarina, Brazil).
• Anomaly detection in Internet Traffic
  Multivariate gamma distributions are  interesting distributions which allow us to measure the dependence between random variables marginally distributed according to gamma distributions. The application of these distributions to the detection of anomalies in Internet traffic has been recently investigated. This work was conducted in collaboration with Patrice Abry and Pierre Borgnat, both from ENS Lyon, France and with Florent Chatelain from the GIPSA-lab in Grenoble, France
• Change detection in optical and radar images
  This activity consists of detecting changes between different kinds of images including optical, hyperspectral and radar images. A first idea has been to consider similarity measures computed from multivariate distributions in order to estimate the correlations between different kinds of images. Another idea is to learn the transformation existing between the different images using supervised manifold learning, and to detect changes when the observed data are too far from this estimated manifold.
• Florent Chatelain from the GIPSA-lab in Grenoble, France
• André Ferrari from the university of Nice, France
• Alain Giros and Jordi Inglada from CNES in Toulouse, France
• Gérard Letac from the laboratory of Statistics and Probability (LSP) of Toulouse, France
• Philippe Réfrégier and Muriel Roche both form Institut Fresnel in Marseille, France
• Sophie Lambert-Lacroix from the university Joseph Fourier, Grenoble, France.
• Frédéric Pascal from CentraleSupelec, University of Paris-Saclay, France.
  

Publications

List: Here

PhD Students

Current

• Paul Grislain, (2022-2025), on the exploitation of artificial intelligence for network characterization and resource management  (funded by CNES and TAS). Advisor : Emmanuel LOCHIN (ENAC, Toulouse), Coadvisor : Jean-Yves Tourneret, IRIT, Toulouse.
• Jihanne El Haouari (2022-2025), on the estimation of the spectral response of an instrument using machine learning techniques (funded by CNES and TAS). Advisor : Herwig Wendt (IRIT, Toulouse), Coadvisor : Jean-Yves Tourneret, IRIT, Toulouse.
• Valérian Mangé (2022-2025), on the detection of abnormal ship trajectories using AIS and radar data (ANR ASTRID funded by DGA). Coadvisor : François Vincent (ISAE, Toulouse.
  
• Youssra El Bennioui (2021-2024), on the fusion of multimodal medical images (funded by the French ministry). Co-advisor : Adrian Basarab (CREATIS, Lyon)
  
• Hamish McPhee (2021-2024), on the generation of a stable time scale from the clocks of a swarm of nanosatellites (cofunded by CNES and TeSA laboratory). Coadvisors : David Valat (CNES) and Philippe Paimblanc (TéSA)
• Lorena Leon (2020-2023), on multivariate multifractal analysis (supported by ANR project). Co-advisor : Herwig Wendt (IRIT, Toulouse).
• Victor Perrier (2019-2022), on congestion control for LEO-GEO communications (supported by CNES and ISAE Toulouse. Co-advisor : Emmanuel Lochin (ISAE Toulouse).

Past

• Florian Mouret (Feb. 2019-2022), on anomaly detection for crop monitoring using remote sensing images (supported by Terranis Toulouse). Co-advisors : Denis Kouamé (IRIT, Toulouse) and Sylvie Duthoit, David Hello et Mohanad Albughdadi (Terranis, Toulouse).
• Mohamad Hourani (2018-2022), on harmonic ultrasound image processing. Co-advisors: A. Basarab and D. Kouamé (IRIT, Toulouse).
  
• Quentin Demoulin (2018-2021), on the analysis of aircraft vibrations using image processing (supported by AIRBUS Toulouse). Co-advisors: A. Basarab and D. Kouamé (IRIT, Toulouse) and J.-L. Vialatte (AIRBUS Toulouse). Phd Manuscript:
• Oumaima El Mansouri (2018-2021), on the fusion of Ultrasound and IRM Images. Co-advisors: A. Basarab and D. Kouamé (IRIT, Toulouse). Phd Manuscript:
• Barbara Pilastre (2018-2021), on anomaly detection in telemetric signals (supported by CNES and Airbus Defence and Space). Co-advisors: S. D'Escrivan (CNES) and Loic BOUSSOUF Airbus Defence Space). Phd Manuscript:
• Julian Tachella (2017-2019), on Bayesian methods for inverse problems with point clouds and their applications to single-photon LIDAR (supported by Heriot-Watt  University). Co-advisors: Steve McLaughlin et Yoann Altmann (Heriot-Watt university). Phd Manuscript:
• Simone Urbano (2015-2019), on the diagnostic and prediction of free play induced limit cycle oscillation in the flight control system of a civil aircraft (supported by AIRBUS). Co-advisors: Eric Chaumette (ISAE, Toulouse), Philippe Goupil (Airbus, Toulouse). Phd Manuscript:
• Julien Lesouple (2015-2019), on the use of sparse representations for multipath mitigation in GNSS (supported by CNES and M3Systems). Co-advisors: Mohamed Sahmoudi and FRançoisn Vincent (ISAE, Toulouse), Willy Wigneau (M3Systems), Thierry Robert and Franck Barbiero (CNES, Toulouse). Phd Manuscript:
• Nora Ouzir (2015-2018), on the use of dictionary learning methods for motion estimation (supported by the Labex CIMI), Co-advisor: Adrian Basarab (IRIT, Toulouse). Phd Manuscript:
• Fabio Manzoni (2014-2017), on the fusion of AIS and Radar data for maritime surveillance (supported by Thales alenia Space (TAS)). Co-advisors: François Vincent (ISAE, Toulouse), David Bonacci (TéSA laboratory), Marc Spigai (TAS), Marie Ansart (TAS) and Jacques Richard (TAS). Phd Manuscript:
• Matthieu Le GOFF (2014-2017), on the study of machine learning algorithms (Adabost, random forests, deep learning) for the analysis of remote sensing images (supported by IRT Saint Exupéry). Co-advisors: Herwig Wendt (IRIT, Toulouse) et Marc Spigai (IRT Saint Exupéry). Phd Manuscript:
• Facundo Costa (2014-2017), on the Bayesian M/EEG source localization with possible joint skull conductivity estimation (supported by an internal grant). Co-advisor: Hadj Batatia (INP-ENSEEIHT, Toulouse). Phd Manuscript:
• Ningning Zhao (2013-2016), on inverse problems in medical ultrasound images and their applications to image deconvolution, segmentaiton and super-resolution (supported by the Chinese scholarship council). Co-advisors: Adrian Basarab and Denis Kouamé (INP-ENSEEIHT, Toulouse). Phd Manuscript:
• Sébastien Combrexelles (2013-2016), on the multifractal analysis of multivariate data with application to remote sensing (supported by DGA/DSTL). Co-advisors: Herwig Wendt (IRIT, Toulouse) and Steve McLaughlin (Heriot Watt university, Edinburgh, Scotland) Phd Manuscript:
• Mohanad Albughdadi (2013-2016), on the Bayesian joint detection-estimation in functional MRI with automatic parcellation and functional constraints (supported by the French government for Palestinian students). Co-advisors: Lotfi Chaari (INP-ENSEEIHT, Toulouse), Phd Manuscript:
• Jorge Prendes (2012-2015), on the detection of changes between optical and SAR images (supported by CNES and SONDRA). Co-advisors: Marie Chabert (INP-ENSEEIHT, Toulouse), Alain Giros (CNES, Toulouse) and Frédéric Pascal (SONDRA, Gif-sur-Yvette). Phd Manuscript:
• Olivier Chabiron (2012-2015), on the learning of convolutinal trees for sparse representations (supported by the Labex CIMI). Co-advisors: François Malgouyres (IMT, Toulouse). Phd Manuscript:
• Qi Wei (2012-2015), on the fusion of optical and hyperspectral images (supported by the Chinese Scholarship Council (CSC)). Co-advisor: Nicolas Dobigeon (INP-ENSEEIHT, Toulouse). Phd Manuscript:
• Cheng Cheng (2011-2015), on  GNSS multipath and interference mitigation using Bayesian methods (supported by the Chinese government). Co-advisors: Vincent Calmettes  (ISAE, Toulouse).
  
• Syed Mohd Dardin (2011-2015), on  new adaptive tracking algorithms for reliable positioning in harsh environment (supported by the Malaysian government). Co-advisors: Vincent Calmettes  (ISAE, Toulouse).
  
• Victor Bissoli Nicolau (2010-2014), on  the detection and localization performance of SAR terminals in the context of MEOSAR transition (supported by CNES and Thales Aleni Space). Co-advisors: Martial Coulon (INP-ENSEEIHT, Toulouse), Yoann Grégoire and Michel Sarthou (CNES, Toulouse), Thibaut Calmettes and Michel Monnerat (Thales Alenia Space, Toulouse). Manuscript:
  
• Aude Bourdeau (2009-2013), on  advanced approaches for navigation by GNSS signals in urban environment using a 3D model (supported by DGA). Co-advisors: Mohamed Sahmoudi (ISAE, Toulouse), Yoann Grégoire and Michel Sarthou (CNES, Toulouse), Thibaut Calmettes and Michel Monnerat (Thales Alenia Space, Toulouse). Manuscript:
• Yoann Altmann (2010-2013), on the nonlinear unmixing of hyperspectral images (supported by DGA). Co-advisor: Nicolas Dobigeon (INP-ENSEEIHT, Toulouse). Phd Manuscript:
• Abderrahim Halimi (2010-2013), on the study of new models and algorithms for altimetric signals. Co-advisors: Corinne Mailhes (INP-ENSEEIHT, Toulouse), François Boy (CNES, Toulouse) and Pierre Thibaut (CLS, Toulouse). Phd Manuscript:
• Cécile Bazot (2009-2013), on Bayesian methods for gene analysis. Co-advisor: Nicolas Dobigeon (INP-ENSEEIHT, Toulouse). Phd Manuscript:
  
• Chao Lin (2009-2012), on the detection of P and T waves in ECG signals using Bayesian methods (supported by TéSA laboratory). Co-advisor: Corinne Mailhes (INP-ENSEEIHT, Toulouse). Phd Manuscript:
• Raoul PREVOST (2009-2012), on the separation of AIS signals (supported by DGA and CNES). Co-advisors: Martial Coulon (INP-ENSEEIHT, Toulouse) and David Bonacci (TeSA laboratory, Toulouse). Phd Manuscript:
• Reza Shirvany (2008-2012), on change detection algorithms for heterogeneous data. Co-advisor: Marie Chabert (INP-ENSEEIHT, Toulouse). Phd Manuscript:
• François Deudon (2008-2011), on wideband space time adaptive processing (supported by DGA). Co-advisors: Olivier BESSON (ISAE-Ensica, Toulouse) and Stéphanie BIDON  (ISAE-Ensica, Toulouse). Phd Manuscript: 
• Jean-Philippe Goy (2008-2012), on obstacle and target detection with FMCW radars (supported by Rockwell Collins).  Co-advisor: Patrice Michel (TéSA laboratory, Toulouse). Phd Manuscript:
  
• Vincent Poulain (2007-2010), on the fusion of high resolution optical and SAR image for cartographic database updating (supported by CNES and Thales Alenia Space). Co-advisors: Philippe Marthon (IRIT, Toulouse), Jordi Inglada (CNES, Toulouse), and Marc Spigai (Thales Alenia Space, Toulouse). Phd Manuscript:
  
• Olivier Eches (2007-2010), on MCMC methods for hyperspectral imagery. Co-advisor: Nicolas Dobigeon (INP-ENSEEIHT, Toulouse). Phd Manuscript:
  
• Jérôme Severini (2006-2010), on the classification of altimetric waveforms.  Co-advisor: Corinne Mailhes (INP-ENSEEIHT, Toulouse). Phd Manuscript:
• Jean-Rémi De Boer (2006-2010), on GNSS-MEMS integrated navigation systems (suppported by DGA). Co-advisor: Vincent CALMETTES (ISAE-Supaéro, Toulouse). Phd Manuscript:
• Mariana Spangenberg (2006-2009), on safe navigation for vehicles (supported by Thales Alenia Space). Co-advisors: Vincent CALMETTES (ISAE-Supaéro, Toulouse) and Olivier JULIEN (ENAC, Toulouse). Phd Manuscript:
• Stéphanie Bidon (2005-2008), on the estimation and detection in heterogeneous environment and the application to space time adaptive processing (STAP) (supported by DGA), currently working in ISAE-ENSICA. Co-advisor: Olivier BESSON (ISAE-Ensica, Toulouse). Phd Manuscript:
• Anchalee Puengnim (2005-2008), on the classification of digital modulations (supported by TeSA laboratory), currently working in TeSA laboratory. Co-advisor : Nathalie THOMAS (INP-ENSEEIHT). Phd Manuscript:
• Florent Chatelain (2004-2007) on multivariate gamma based distributions for image processing applications, currently  assistant professor in the university of Grenoble.
  Phd Manuscript:
• Nicolas Dobigeon (2004-2007), on hierarchical Bayesian models for multi-sensor processing,  currently  assistant professor in the university of Toulouse (INP-ENSEEIHT). Phd Manuscript:
• Audrey Giremus (2002-2005), on the application of particule filtering to GPS navigation supported by DGA), currrently assistant professor in the university of Bordeaux. Co-advisors : Vincent CALMETTES (ISAE-Supaéro) and Anne-Christine ESCHER.
• Patrice Michel (1997-2002), on the detection and estimation of modes in aircrafts with flexible structure (supported by Airbus, Toulouse, France), currently working in TeSA laboratory.
• Souad Meddeb (1996-2000), on the identification of Volterra and bilinear systems for communications.
• Martial Coulon (1996-1999), on the detection of parametric models in presence of additive and multiplicative noise, currently assistant professor in the university of Toulouse (INP-ENSEEIHT).
• Marie Chabert (1994-1997), on the time-scale detection of changes in synthetic aperture radar images, currently  assistant professor in the university of Toulouse (INP-ENSEEIHT).
  

© 2008 Jean-Yves Tourneret
Original design by Andreas Viklund