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SIEL

Analyse et fusion de donnéesIA et apprentissage statistiqueTraitement de signaux, d’images et du langage

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Approches de segmentationExtraire l’informationMéthodes d’amélioration d’imagesModéliser et optimiser l'informationOrienter le processus d’optimisation

Sébastien Bourguignon

HDR

Enseignant chercheur / Enseignante chercheuse – Professeur / professeure des universités

Equipe : SIMS

Employeur : Centrale Nantes

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Publications déposées sur HAL

Nombre de publications retournées : 93

Revues internationales avec comité de lecture

[1] S. Bourguignon, H. Carfantan, J. Idier. A sparsity-based method for the estimation of spectral lines from irregularly sampled data, in IEEE J. Selected Topics Sig. Proc., Issue: Convex Optimization Methods for Signal Processing, vol. 1, no. 4, pp. 575-585, DOI

[2] S. Bourguignon, H. Carfantan, T. Böhm. SparSpec : a new method for fitting multiple sinusoids with irregularly sampled data, in Astronomy & Astrophysics – A&A, vol. 462, no. 1, pp. 379 – 387, DOI

[3] S. Bourguignon, H. Carfantan, T. Böhm. SparSpec: a new method for fitting multiple sinusoids with irregularly sampled data, in Astronomy & Astrophysics – A&A, vol. 462, pp. 379-387, DOI

[4] S. Bourguignon, H. Carfantan. New methods for fitting multiple sinusoids from irregularly sampled data, in Statistical Methodology, vol. 5, pp. 318-327, DOI

[5] S. Bourguignon, L. Berger, C. Scalabrin, R. Fablet, V. Mazauric. Methodological developments for improved bottom detection with the ME70 multibeam echosounder, in ICES Journal of Marine Science, vol. 66, no. 6, pp. 1015 – 1022,

[6] V. Trenkel, L. Berger, S. Bourguignon, M. Doray, R. Fablet, J. Masse, V. Mazauric, C. Poncelet, G. Quemeneur, C. Scalabrin, H. Villalobos. Overview of recent progress in fisheries acoustics made by Ifremer with examples from the Bay of Biscay, in Aquatic Living Resources, vol. 22, no. 4, pp. 433-446, DOI

[7] P. Gaulme, M. Vannier, T. Guillot, B. Mosser, D. Mary, W. Weiss, F. Schmider, S. Bourguignon, H. Deeg, C. Régulo, S. Aigrain, J. Schneider, H. Bruntt, S. Deheuvels, J. Donati, T. Appourchaux, M. Auvergne, A. Baglin, F. Baudin, C. Catala, E. Michel, R. Samadi. Possible detection of phase changes from the non-transiting planet HD 46375b by CoRoT, in Astronomy & Astrophysics – A&A, vol. 518, pp. L153, DOI

[8] S. Bourguignon, D. Mary, E. Slezak. Restoration of Astrophysical Spectra With Sparsity Constraints: Models and Algorithms, in IEEE Journal of Selected Topics in Signal Processing, vol. 5, no. 5, pp. 1002-1013, DOI

[9] M. Bazot, S. Bourguignon, J. Christensen-Dalsgaard. A Bayesian approach to the modelling of α Cen A, in Monthly Notices of the Royal Astronomical Society, vol. 427, pp. 1847-1866, DOI

[10] E. Carcreff, S. Bourguignon, J. Idier, L. Simon. A linear model approach for ultrasonic inverse problems with attenuation and dispersion, in IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, vol. 61, no. 7, pp. 1191-1203, DOI

[11] C. Friedrich, S. Bourguignon, J. Idier, Y. Goussard. Reconstruction of 3-D Microwave Images based on a Block-BiCGStab Algorithm, in Journal of Physics: Conference Series, vol. 657, pp. 012014, DOI

[12] S. Bourguignon, J. Ninin, H. Carfantan, M. Mongeau. Exact Sparse Approximation Problems via Mixed-Integer Programming: Formulations and Computational Performance, in IEEE Transactions on Signal Processing, vol. 64, no. 6, pp. 1405-1419, DOI

[13] D. Testa, H. Carfantan, M. Albergante, P. Blanchard, S. Bourguignon, A. Fasoli, A. Goodyear, A. Klein, J. Lister, T. Panis. Sparse representation of signals: from astrophysics to real-time data analysis for fusion plasmas and system optimization analysis for ITER and TCV, in Plasma Physics and Controlled Fusion, vol. 58, no. 12, pp. 123001, DOI

[14] S. Labouesse, M. Allain, J. Idier, A. Negash, T. Mangeat, P. Liu, A. Sentenac, S. Bourguignon. Joint reconstruction strategy for structured illumination microscopy with unknown illuminations, in IEEE Trans.Image Process., vol. 26, no. 5, pp. 2480-2493, DOI

[15] J. Idier, S. Labouesse, M. Allain, P. Liu, S. Bourguignon, A. Sentenac. On the super-resolution capacity of imagers using unknown speckle illuminations, in IEEE Transactions on Computational Imaging, vol. 4, no. 1, pp. 87 – 98, DOI

[16] F. Schmidt, S. Bourguignon. Efficiency of BRDF sampling and bias on the average photometric behavior, in Icarus, vol. 317, pp. 10 – 26, DOI

[17] N. Laroche, S. Bourguignon, E. Carcreff, J. Idier, A. Duclos. An inverse approach for ultrasonic imaging from full matrix capture data. Application to resolution enhancement in NDT., in IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, vol. 67, no. 9, pp. 1877-1887, DOI

[18] C. Friedrich, S. Bourguignon, J. Idier, Y. Goussard. Three-Dimensional Microwave Imaging: Fast and Accurate Computations with Block Resolution Algorithms, in Sensors, vol. 20, no. 21, pp. 6282, DOI

[19] M. Alhajj, S. Bourguignon, S. Palma Lopes, G. Villain. Joint inversion of electromagnetic measurements for the determination of water saturation profiles in concrete structures, in Cement and Concrete Research, vol. 147, pp. 106500, DOI

[20] N. Laroche, S. Bourguignon, J. Idier, E. Carcreff, A. Duclos. Fast non-stationary deconvolution of ultrasonic beamformed images for nondestructive testing, in IEEE Transactions on Computational Imaging, vol. 7, pp. 935-947, DOI

[21] R. Ben Mhenni, S. Bourguignon, J. Ninin. Global optimization for sparse solution of least squares problems, in Optimization Methods and Software, vol. 37, no. 5, DOI

[22] N. Laroche, E. Carcreff, S. Bourguignon, J. Idier, A. Duclos, P. Lhuillier. Super-resolution ultrasonic imaging of close reflectors in coarse-grained steels based on a deconvolution approach, in Journal of Nondestructive Evaluation, vol. 41, no. 66, DOI

[23] J. Antoni, J. Idier, S. Bourguignon. A Bayesian interpretation of the L-curve, in Inverse Problems, vol. 39, no. 6, pp. 065016, DOI

[24] G. Samain, S. Bourguignon, J. Ninin. Techniques for accelerating Branch-and-Bound algorithms dedicated to sparse optimization, in Optimization Methods and Software, pp. 1-38, DOI

[25] I. Kim, G. Ducrozet, L. Vincent, F. Bonnefoy, Y. Perignon, S. Bourguignon. A real-time wave prediction in directional wave fields: Strategies for accurate continuous prediction in time, in Ocean Engineering, vol. 291, pp. 116445, DOI

Conférences internationales avec comité de lecture et actes

[26] S. Bourguignon, H. Carfantan, J. Idier. Minimisation de critères de moindres carrés pénalisés par la norme l1 dans le cas complexe, in GRETSI, Troyes, France,

[27] R. Lefort, R. Fablet, J. Boucher, L. Berger, S. Bourguignon. Automatic fish school classification for acoustic sensing of marine ecosystems, in Oceans'08, Québec, Canada,

[28] D. Serre, E. Villeneuve, H. Carfantan, L. Jolissaint, V. Mazet, S. Bourguignon, A. Jarno. Modeling the spatial PSF at the VLT focal plane for MUSE WFM data analysis purpose, in SPIE Astronomical Telescopes + Instrumentation, San Diego, France, DOI

[29] F. Schmidt, S. Bourguignon, S. Le Mouélic, N. Dobigeon, C. Theys, E. Tréguier. Accuracy and performance of linear unmixing techniques for detecting minerals on Omega/Mars Express (WHISPERS 2011), in 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Lisbonne, Portugal, DOI

[30] S. Bourguignon, C. Soussen, H. Carfantan, J. Idier. Sparse deconvolution: comparison of statistical and deterministic approaches, in IEEE Statistical Signal Processing Workshop, SSP 2011, Nice, France,

[31] E. Villeneuve, H. Carfantan, A. Jarno, D. Serre, V. Mazet, S. Bourguignon. Modélisation et estimation de la PSF d'un instrument hyperspectral au sol pour l'astrophysique, in GRETSI 2011, XXIIe Colloque GRETSI – Traitement du Signal et des Images, Bordeaux, France,

[32] S. Bourguignon, H. Carfantan, D. Mary, E. Slezak, A. Ferrari. Restauration des cubes hyperspectraux du spectro-imageur MUSE, in Colloque GRETSI sur le traitement du signal et des images (GRETSI 2011), Bordeaux, France,

[33] F. Schmidt, S. Bourguignon, S. Le Mouélic, N. Dobigeon, C. Theys, E. Tréguier. Accuracy and performance of linear unmixing techniques for detecting minerals on Omega/Mars Express ((EPSC 2011), in European Planetary Science Congress 2011, Nantes, France,

[34] F. Schmidt, S. Bourguignon, S. Le Mouélic, N. Dobigeon, C. Theys, E. Tréguier. Accuracy and performance of linear unmixing techniques for detecting minerals on OMEGA/MEx, in EPSC-DPS Joint Meeting, Nantes, France,

[35] F. Schmidt, S. Bourguignon, S. Le Mouélic, N. Dobigeon, E. Tréguier. Constraining Martian mineralogical compositions using hyperspectral images, in 43rd Lunar and Planetary Science Conference, Texas, états-Unis,

[36] E. Carcreff, S. Bourguignon, J. Idier, L. Simon. High-resolution deconvolution applied to non destructive testing, in Acoustics 2012, Nantes, France,

[37] Y. Shen, T. Chan, S. Bourguignon, C. Chi. SPATIAL-SPECTRAL UNMIXING OF HYPERSPECTRAL DATA FOR DETECTION AND ANALYSIS OF ASTROPHYSICAL SOURCES WITH THE MUSE INSTRUMENT, in IEEE WHISPERS, Shanghai, Chine,

[38] E. Carcreff, S. Bourguignon, J. Idier, L. Simon. RESOLUTION ENHANCEMENT OF ULTRASONIC SIGNALS BY UP-SAMPLED SPARSE DECONVOLUTION, in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013), Vancouver, Canada,

[39] E. Carcreff, S. Bourguignon, J. Idier, L. Simon, A. Duclos. Including frequency-dependent attenuation for the deconvolution of ultrasonic signals, in Proceedings of meetings on acoustics, vol. 19, pp. 055029, in 21th International Congress on Acoustics (2013), Montréal, Canada, DOI

[40] E. Carcreff, S. Bourguignon, J. Idier, L. Simon. Algorithmes de déconvolution impulsionnelle à résolution augmentée, in 24ème colloque GRETSI (2013), Brest, France,

[41] J. Picaud, S. Bourguignon. Restauration de données hyperspectrales astrophysiques par approximation parcimonieuse, in GRETSI 2013, Brest, France,

[42] C. Friedrich, S. Bourguignon, J. Idier, Y. Goussard. Faster resolution of the 3-D forward problems in microwave imaging by a Partial-Block BiCGStab algorithm, in 2015 9th European Conference on Antennas and Propagation (EuCAP), Lisbon, Portugal,

[43] E. Carcreff, S. Bourguignon, A. Duclos, L. Simon, J. Idier. Detection of Flat Bottom Holes Using Sparse Deconvolution, in Physics Procedia, vol. 70, pp. 558 – 561, in ICU 2015 International Congress on Ultrasonics, Metz, France, DOI

[44] M. Boudineau, H. Carfantan, S. Bourguignon, M. Bazot. Sampling schemes and parameter estimation for nonlinear Bernoulli-Gaussian sparse models, in IEEE Statistical Signal Processing Workshop, Palma de Mallorca, Espagne,

[45] N. Bouhlel, S. Bourguignon. Deconvolution of ultrasonic signals in porous materials : Estimation of acoustic propagation parameters and wave separation, in Review of Progress in Quantitaive Nondestructive Evaluation (QNDE), Atlanta, états-Unis,

[46] P. Liu, S. Bourguignon, J. Idier, M. Allain, S. Labouesse, A. Sentenac. A marginal image reconstruction approach in fluorescence microscopy with pseudo-random illumination patterns, in OSA Conference : Imaging and Applied Optics, Heidelberg, Allemagne,

[47] S. Bourguignon, E. Carcreff, C. Lin, J. Peng. Blind sparse deconvolution of regularly spaced ultrasonic echoes for thickness measurement, in Review of Progress in Quantitative Nondestructive Evaluation (QNDE), Atlanta, états-Unis,

[48] S. Labouesse, J. Idier, P. Liu, M. Allain, S. Bourguignon, A. Sentenac. Super-resolution capacity of imagers using random illuminations, in OSA Conference : Imaging and Applied Optics, Heidelberg, Allemagne,

[49] S. Labouesse, M. Allain, A. Negash, P. Liu, A. Sentenac, J. Idier, S. Bourguignon. Fluorescence blind structured illumination microscopy: a new reconstruction strategy, in IEEE International Conference on Image Processing, Phoenix, états-Unis, DOI

[50] F. Schmidt, S. Bourguignon. Bias on the" average" photometric behaviour, in European Planetary Science Congress, Riga, Lettonie,

[51] N. Bouhlel, S. Bourguignon, A. Duclos, J. Groby. Characterization of poroelastic materials through interface scattering and propagation models, in 5th symposium on the Acoustics of Poro-Elasic Materials (SAPEM), Le Mans, France,

[52] S. Labouesse, A. Negash, J. Idier, S. Bourguignon, T. Mangeat, P. Liu. Fast reconstruction in blind fluorescence structured illumination microscopy, in OSA Conference : Imaging and Applied Optics, San Francisco, états-Unis, DOI

[53] E. Carcreff, N. Laroche, S. Bourguignon, D. Braconnier. Improvement of the total focusing method using an inverse problem approach, in 2017 IEEE International Ultrasonics Symposium (IUS), Washington, états-Unis, DOI

[54] M. Boudineau, S. Bourguignon, H. Carfantan. An L0 solution to sparse approximation problems with continuous dictionaries, in IEEE ICASSP, Calgary, Canada,

[55] R. Ben Mhenni, S. Bourguignon, J. Ninin, F. Schmidt. Spectral Unmixing with Sparsity and Structuring Constraints, in IEEE Whispers (2018) : 9th Workshop on Hyperspectral Image and Signal Processing, Amsterdam, Pays-Bas, DOI

[56] N. Laroche, E. Carcreff, S. Bourguignon, J. Idier, A. Duclos. An Inverse Approach for Ultrasonic Imaging by Total Focusing Point for Close Reflectors Separation, in 2018 IEEE International Ultrasonics Symposium (IUS), Kobe, Japon, DOI

[57] R. Ben Mhenni, S. Bourguignon, J. Ninin. Global Optimization for Sparse Solution of Least Squares Problems, in ICCOPT, International Conference on Continuous Optimization, Berlin, Allemagne,

[58] R. Ben Mhenni, S. Bourguignon, J. Ninin. Global optimization of L0-norm-based sparse approximation criteria with a branch-and-bound algorithm, in SPARS, Signal Processing with Adaptive Sparse Structured Representations, Toulouse, France,

[59] M. Vono, J. Goicoechea, P. Gratier, V. Guzman, A. Hughes, J. Kainulainen, D. Languignon, J. Bourlot, F. Levrier, H. Listz, K. Öberg, E. Bron, J. Orkisz, N. Peretto, J. Pety, A. Roueff, E. Roueff, A. Sievers, V. Magalhaes, P. Tremblin, P. Chainais, F. Petit, S. Bardeau, S. Bourguignon, J. Chanussot, M. Gaudel, M. Gerin. A Fully Bayesian Approach For Inferring Physical Properties With Credibility Intervals From Noisy Astronomical Data, in WHISPERS 2019 – 10th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, Amsterdam, Pays-Bas, DOI

[60] N. Laroche, S. Bourguignon, E. Carcreff, J. Idier, A. Duclos. Fast inverse approach for the deconvolution of ultrasonic TFM images using a spatially varying PSF in NDT, in 2019 IEEE International Ultrasonics Symposium (IUS), Glasgow, Royaume-Uni, DOI

[61] R. Ben Mhenni, S. Bourguignon, J. Idier. A Greedy Sparse Approximation Algorithm Based On L1-Norm Selection Rules, in ICASSP 2020 – 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, Espagne, DOI

[62] R. Ben Mhenni, S. Bourguignon, M. Mongeau, J. Ninin, H. Carfantan. Sparse Branch and Bound for Exact Optimization of L0-Norm Penalized Least Squares, in ICASSP 2020, IEEE International Conference on Acoustics, Speech and Signal Processing, Barcelona, Espagne, DOI

[63] M. Alhajj, G. Villain, S. Bourguignon, S. Lopes. A Joint Inversion Approach of Capacitive and Resistive Measurements for the Estimation of Water Saturation Profiles in Concrete Structures, in XV International Conference on Durability of Building Materials and Components (DBMC 2020), Barcelone, Espagne, DOI

[64] N. Laroche, E. Carcreff, J. Idier, A. Duclos, S. Bourguignon. An inverse problem framework for ultrasonic imaging in attenuative and dispersive media, in Forum Acusticum, Lyon, France, DOI

[65] G. Samain, J. Ninin, S. Bourguignon. Branch-and-bound algorithm applied to sparse optimization problems: a study of some exploration strategies, in EUROPT 2021, the 18th international workshop on continuous optimization, Toulouse, France,

[66] F. Schmidt, G. Salomon, D. Mège, J. Gurgurewicz, S. Bourguignon. Spectral unmixing with positivity, sparsity and group exclusivity constraints, in European Planetary Science Congress 2021, Virtual meeting, France, DOI

[67] G. Samain, S. Bourguignon, J. Ninin. La dualité convexe comme accélération d'un algorithme de Branch-and-Bound dédié à l'optimisation parcimonieuse, in 23ème congrès annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision, Villeurbanne – Lyon, France,

[68] G. Samain, S. Bourguignon, J. Ninin. Techniques for accelerating branch-and-bound algorithms dedicated to sparse optimization, in EUROPT 19th Workshop on Advances in Continuous Optimization, Lisbonne, Portugal,

[69] S. Cafieri, M. Mongeau, S. Bourguignon, G. Samain. Near-optimal global solutions for sparse approximation problems, in Proceedings of the Stockholm Global Optimization Workshop, STOGO 2025, Stochholm, Suède,

[70] M. Latif, G. Samain, N. Foix-Colonier, S. Bourguignon. Branch-and-bound algorithm for exact ℓ0 -norm sparse spectral unmixing, in EUSIPCO 2025, Palermo, Italie,

[71] N. Foix-Colonier, S. Bourguignon, F. Schmidt, M. Latif. Guaranteed Best Sparse Solutions for Spectral Unmixing, in 15th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS) 2025, Barcelona, Espagne, DOI

[72] N. Foix-Colonier, S. Bourguignon, F. Schmidt. Sparse Unmixing of Hyperspectral Images with a Binary Total Variation Constraint, in 2026 34th European Signal Processing Conference (EUSIPCO), Bruges, Belgique,

[73] B. Pineau, B. Pascal, S. Bourguignon. Unfolded primal-dual algorithm estimating time-varying COVID-19 reproduction numbers, in 34th European Signal Processing Conference (EUSIPCO), Bruges, Belgique,

Conférences nationales avec comité de lecture et actes

[74] S. Labouesse, M. Allain, J. Idier, S. Bourguignon, P. Liu, A. Sentenac. Blind fluorescence structured illumination microscopy: A new reconstruction strategy, in Actes du 25e colloque GRETSI, Lyon, France,

[75] S. Bourguignon, J. Ninin, H. Carfantan, M. Mongeau. Programmation mixte en nombres entiers pour l’approximation parcimonieuse de signaux, in ROADEF 2015, 16ème congrès annuel de la Société Française de Recherche Opérationnelle et d’Aide à la Décision, Marseille, France,

[76] S. Bourguignon, J. Ninin, H. Carfantan, M. Mongeau. Optimisation exacte de critères parcimonieux en norme L0 par programmation mixte en nombres entiers, in GRETSI 2015, XXVe Colloque GRETSI – Traitement du Signal et des Images, Lyon, France,

[77] R. Ben Mhenni, S. Bourguignon, J. Ninin, F. Schmidt. Démélange parcimonieux exact dans une approche supervisée en imagerie hyperspectrale, in colloque GRETSI 2017, Juan les Pins, France,

[78] P. Liu, J. Idier, S. Bourguignon, S. Labouesse, M. Allain, A. Sentenac. Minimum contrast estimation for super-resolution fluorescence microscopy using speckle patterns, in GRETSI, Juan-Les-Pins, France,

[79] R. Ben Mhenni, S. Bourguignon, J. Ninin, F. Schmidt. Méthodes exactes de démélange spectral en norme L0 et contraintes de parcimonie structurée à l'aide de MIP, in 19ème congrès de la ROADEF (2018), Lorient, France,

[80] R. Ben Mhenni, S. Bourguignon, J. Ninin, F. Schmidt. Démélange parcimonieux et prise en compte de contraintes structurantes par optimisation globale, in 7e colloque du Groupe Hyperspectral de la Société Française de Photogrammétrie et Télédétection (SFPT-GH) 2019, Toulouse, France,

[81] N. Laroche, S. Bourguignon, E. Carcreff, J. Idier, A. Duclos. Approche inverse rapide pour la déconvolution d'images ultrasonores par une PSF variable, in GRETSI, Lille, France,

[82] R. Mhenni, S. Bourguignon, M. Mongeau, J. Ninin, H. Carfantan. Algorithme branch-and-bound pour l’optimisation exacte en norme l0, in XXVIIème Colloque francophone de traitement du signal et des images (GRETSI 2019), Lille, France,