Lionel Bombrun
- Laboratoire de l'intégration, du matériau au système (IMS)
- Ecole Nationale Supérieure des Sciences Agronomiques de Bordeaux-Aquitaine (Bordeaux Sciences Agro)
Publications
Publications
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On the Efficiency and Informativeness of Deep Conformal Classifiers using the Penalised Inverse Probability Nonconformity FunctionJournées de Statistique de la Société Française des Statistiques (SFdS), Société Française des Statistiques (SFdS), May 2024, Bordeaux, France |
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The Penalized Inverse Probability Measure for Conformal ClassificationIEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), IEEE/CVF, Jun 2024, Seattle, United States |
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Group-Conditional Conformal Prediction via Quantile Regression Calibration for Crop and Weed Classification2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), IEEE/CVF, Oct 2023, Paris, France |
A study of pixelwise segmentation metrics using clustering of variables and self-organizing mapsXXXI International Horticultural Congress, 2022, Angers (FR), France. pp.37-44, ⟨10.17660/ActaHortic.2023.1360.5⟩ |
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A Gaussian mixture model with multiple tangent planesEuropean Signal Processing Conference, 2023, Helsinki, Finland. pp.950-954 |
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Modèle d'ensemble d'apprentissage profond basé sur la représentation au second ordre de descripteurs multi-couches d'un CNNGroupe d'Etudes du Traitement du Signal et des Images (GRETSI 2022), Sep 2022, Nancy, France |
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Analyse exploratoire de métriques en segmentation d'images : application en proxidétectionGroupe d'Etudes du Traitement du Signal et des Images (GRETSI 2022), Sep 2022, Nancy, France |
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Boucle d’indexation interactive basée sur les gains d’information : application a un jeu de données expertGroupe d'Etudes du Traitement du Signal et des Images (GRETSI 2022), Sep 2022, Nancy, France |
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Deep Ensemble Learning Model Based on Covariance Pooling of Multi-Layer CNN Features2022 IEEE International Conference on Image Processing (ICIP), Oct 2022, Bordeaux, France. pp.1081-1085, ⟨10.1109/ICIP46576.2022.9897868⟩ |
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Content-based image retrieval: Colorfulness and Depth visual perception quantification2021 International Conference on Content-Based Multimedia Indexing (CBMI), Jun 2021, Lille, France. pp.1-6, ⟨10.1109/CBMI50038.2021.9461892⟩ |
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Cluster Kernel For Learning Similarities Between Symmetric Positive Definite Matrix Time Series2020 IEEE International Conference on Image Processing (ICIP), Oct 2020, Abu Dhabi, United Arab Emirates. pp.3304-3308, ⟨10.1109/ICIP40778.2020.9191149⟩ |
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Détection des symptômes de maladies du bois par proxi et télédétectionEUROVITI 2020 : Dépérissement du vignoble et maladies du bois., Jan 2020, Angers, France |
Texture Classification Using RGGD Statistical Model of CNN Feature Maps Encoding2024 32nd European Signal Processing Conference (EUSIPCO), Aug 2024, Lyon, France. pp.1202-1206, ⟨10.23919/EUSIPCO63174.2024.10715375⟩ |
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An ensemble learning approach for the classification of remote sensing scenes based on covariance pooling of CNN features27th European Signal Processing Conference, Sep 2019, La Coruña, Spain |
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Encodage de matrices de covariance par les vecteurs de Fisher log-euclidien : application à la classification supervisée d'images satellitairesGroupe d'Etudes du Traitement du Signal et des Images (GRETSI), Aug 2019, Lille, France |
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Image classification based on log-Euclidean Fisher Vectors for covariance matrix descriptorsInternational Conference on Image Processing Theory, Tools and Applications (IPTA), Nov 2018, Xi'an, China. ⟨10.1109/IPTA.2018.8608154⟩ |
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Covariance matrices encoding based on the log-Euclidean and affine invariant Riemannian metricsThe IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2018, Salt Lake City, United States. ⟨10.1109/CVPRW.2018.00080⟩ |
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A geometric learning approach on the space of complex covariance matrices2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Mar 2017, New Orleans, France. ⟨10.1109/ICASSP.2017.7952574⟩ |
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Co-occurrence Matrix of Covariance Matrices: A Novel Coding Model for the Classification of Texture Images3rd conference on Geometric Science of Information, Nov 2017, Paris, France |
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Classification approach based on the product of riemannian manifolds from Gaussian parametrization space2017 IEEE International Conference on Image Processing (ICIP), Sep 2017, Beijing, France. ⟨10.1109/ICIP.2017.8296272⟩ |
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La matrice de co-occurrence des matrices de covariance : un nouveau modèle de codage pour la classification de texturesGRETSI, Sep 2017, Juan les Pins, France |
PolSAR image denoising using directional diffusion2016 12th IEEE International Symposium on Electronics and Telecommunications (ISETC), Oct 2016, Timisoara, France. ⟨10.1109/ISETC.2016.7781126⟩ |
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Classification of hyperspectral data with ensemble of subspace ICA and edge-preserving filtering41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016), Mar 2016, Shanghai, China |
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An M-estimator for robust centroid estimation on the manifold of covariance matrices: performance analysis and application to image classification24th European Signal Processing Conference (EUSIPCO'16), Aug 2016, Budapest, Hungary. pp.2196 - 2200 |
Texture retrieval from very high resolution remote sensing images using local extrema-based descriptorsIGARSS 2016 - 2016 IEEE International Geoscience and Remote Sensing Symposium, Jul 2016, Beijing, France. ⟨10.1109/IGARSS.2016.7729472⟩ |
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Texture image classification with Riemannian fisher vectors issued from a Laplacian modelIEEE Image, Video, and Multidimensional Signal Processing Workshop, Jul 2016, Bordeaux, France. pp.1 - 5, ⟨10.1109/IVMSPW.2016.7528231⟩ |
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Spectral-spatial rotation forest for hyperspectral image classificationIEEE International Geosicence and Remote Sensing Symposium (IGARSS 2016), Jul 2016, Pékin, China |
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Texture image classification with Riemannian fisher vectorsIEEE International Conference on Image Processing, Sep 2016, Phoenix, United States. pp.3543 - 3547, ⟨10.1109/ICIP.2016.7533019⟩ |
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Multiple features learning via rotation strategyIEEE International Conference on Image Processing (ICIP 2016), Sep 2016, Phoenix, AZ, United States. pp.2206 - 2210, ⟨10.1109/ICIP.2016.7532750⟩ |
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Texture classification using Rao's distance: an EM algorithm on the Poincaré half planeIEEE International Conference on Image Processing (ICIP), Sep 2015, Québec, Canada |
Statistical hypothesis test for maritime pine forest SAR images classification based on the geodesic distanceIGARSS 2015, Remote sensing: understanding the Earth for a safer world, IEEE Geoscience and Remote Sensing Society (GRSS). USA., Jul 2015, Milan, Italy. ⟨10.1109/IGARSS.2015.7326502⟩ |
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Statistical hypothesis test for maritime pine forest SAR images classification based on the geodesic distanceIEEE International Geoscience and Remote Sensing Symposium 2015, 2015, Milan, Italy. pp.3215-3218 |
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texture-based forest cover classification using random forests and ensemble marginIEEE International Geoscience and Remote Sensing Symposium 2015, 2015, Milan, Italy. pp.3072-3075 |
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Statistical hypothesis test for robust classification on the space of covariance matricesIEEE International Conference on Image Processing (ICIP), Sep 2015, Québec, Canada |
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Classification robuste sur l’espace des matrices de covariance : Application à l’imagerie polarimétrique radarXXVème colloque GRETSI, 2015, Lyon, France |
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Texture Classification Using Rao’s Distance on the Space of Covariance MatricesGeometric Science of Information, 2015, Paris, France. pp.371-378, ⟨10.1007/978-3-319-25040-3_40⟩ |
Modèles probabilistes Riemanniens de tenseurs de structure pour le traitement d’images texturéesXXVème Colloque GRETSI (Gretsi 2015), Sep 2015, Lyon, France. pp.1-4 |
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Classification of oyster habitats by combining wavelet-based texture features and polarimetric SAR descriptorsIEEE International Geoscience and Remote Sensing Symposium 2015, 2015, Milan, Italy. pp.3890-3893 |
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Wavelet based texture modeling for panchromatic very high resolution image classification : application to oyster racks detectionIEEE International Geoscience and Remote Sensing conference, 2014, Québec, Canada. pp.5148-5151 |
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Intrinsic prior for Bayesian classification of texture imagesIEEE International Conference on Acoustic, Speech and Signal Processing, 2014, Florence, Italy. pp.4392-4396 |
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Wavelet based texture modeling for the classification of very high resolution maritime pine forest imagesIGARSS 2014, International Geoscience and Remote Sensing Symposium, IEEE Geoscience and Remote Sensing Society (GRSS). USA., Jul 2014, Québec, Canada. ⟨10.1109/IGARSS.2014.6946861⟩ |
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Wavelet based texture modeling for the classification of very high resolution maritime pine forest imagesIEEE Geoscience and Remote Sensing Symposium, 2014, Québec, Canada. pp.2027-2030 |
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Centroid-based texture classification using the SIRV representationIEEE International Conference on Image Processing, Sep 2013, Melbourne, Australia. pp.3810-3814 |
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Classification d'images texturées basée sur K-barycentres : meilleure gestion de la diversité intra-classeGroupe d'Etudes du Traitement du Signal et des Images (GRETSI), Sep 2013, Brest, France. pp.1-4 |
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K-Centroids-Based Supervised Classi cation of Texture Images using the SIRV modelingGeometric Science of Information (GSI), Aug 2013, Paris, France. pp.1-8 |
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Texture based image retrieval and classification of very high resolution maritime pine forest imagesIEEE International Geoscience and Remote Sensing Symposium, Jul 2013, Melbourne, Australia. pp.4038-4041 |
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Centroid-based texture classification using the generalized Gamma distribution21st European Signal Processing Conference (EUSIPCO), Sep 2013, Marrakech, Morocco. pp.1-5 |
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K-centroids based supervised classification of texture images: handling the intra-class diversityIEEE International Conference on Acoustics, Speech, and Signal Processing, 2013, Vancouver, Canada. pp.1498-1502 |
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Performance of the maximum likelihood estimators for the parameters of multivariate generalized Gaussian distributionsIEEE International Conference on Acoustics, Speech, and Signal Processing, Mar 2012, Kyoto, Japan. pp.3525 - 3528, ⟨10.1109/ICASSP.2012.6288677⟩ |
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Multivariate texture retrieval using the Kullback-Leibler divergence between bivariate generalized Gamma times an Uniform distributionIEEE International Conference on Image Processing, Sep 2012, Orlando, United States. pp.2413-2416 |
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Suivi de texture par le Maximum de Vraisemblance dans les images RSO Polarimétriques Haute RésolutionGRETSI 2011 - XXIIIème Colloque francophone de traitement du signal et des images, Sep 2011, Bordeaux, France. pp.167 |
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A complete coverage of log-cumulant space in terms of distributions for Polarimetric SAR dataPOLinSAR 2011 - 5th International Workshop on Science and Applications of SAR Polarimetry and Polarimetric Interferometry, Jan 2011, Frascati, Italy. pp.1-8 |
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Indexation d'images texturées couleur fondée sur la distance géodésique entre des variables elliptiquement distribuées.XXIIIème colloque GRETSI, Sep 2011, Bordeaux, France. pp.1-4 |
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Bistatic Polarimetric SAR Decomposition in Terms of Roll-Invariant Parameters5th International Workshop on Science and Applications of SAR Polarimetry and Polarimetric Interferometry (POLinSAR 2011), 2011, Frascati, Italy. pp.1-5 |
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Heterogeneous Clutter Models for Change Detection in PolSAR ImageryPOLinSAR 2011 - 5th International Workshop on Science and Applications of SAR Polarimetry and Polarimetric Interferometry, Jan 2011, Frascati, Italy. 7 p |
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Multivariate texture retrieval using the geodesic distance between elliptically distributed random variables18th IEEE International Conference on Image Processing (ICIP), 2011, Bruxelles, Belgium. pp.3637 - 3640, ⟨10.1109/ICIP.2011.6116506⟩ |
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Using Quad‐Pol and Single‐Pol RADARSAT‐2 Data for Monitoring Cold Alpine and Outlet Antarctic GlaciersPOLinSAR 2011 - 5th International Workshop on Science and Applications of SAR Polarimetry and Polarimetric Interferometry, Jan 2011, Frascati, Italy. 6 p |
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Multivariate texture retrieval using the SIRV representation and the geodesic distanceIEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011, Prague, Czech Republic. pp.865 - 868, ⟨10.1109/ICASSP.2011.5946541⟩ |
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Maximum Likelihood Shift Estimation using High Resolution Polarimetric SAR Clutter ModelPOLinSAR 2011 - 5th International Workshop on Science and Applications of SAR Polarimetry and Polarimetric Interferometry, Jan 2011, Frascati, Italy. 6 p |
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Recent Polarimetric SAR Models for Danube Delta Monitoring using PALSAR ImagesPOLinSAR 2011 - 5th International Workshop on Science and Applications of SAR Polarimetry and Polarimetric Interferometry, Jan 2011, Frascati, Italy. 8 p |
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PolSAR images characterization through blind sources separation techniquesIGARSS 2010 - IEEE International Geoscience and Remote Sensing Symposium, Jul 2010, Honolulu, Hawaii, United States. pp.4 |
On Hierarchical Segmentation of High Resolution PolSAR DataEUSAR 2010 - 8th European Conference on Synthetic Aperture Radar, Jun 2010, Aachen, Germany. pp.174-177 |
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A combined TSVM model and GLRT detector for a roll invariant target detection.EUSAR 2010 - 8th European Conference on Synthetic Aperture Radar, Jun 2010, Aix-la-Chapelle, Germany |
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Roll Invariant Target Detection based on PolSAR Clutter ModelsIGARSS 2010 - IEEE International Geoscience and Remote Sensing Symposium, Jul 2010, Honolulu, United States. pp.4, ⟨10.1109/IGARSS.2010.5653522⟩ |
Maximum likelihood texture tracking in highly heterogeneous PolSAR clutterIGARSS 2010 - IEEE International Geoscience and Remote Sensing Symposium, Jul 2010, Honolulu, Hawaii, United States. pp.4031-4034, ⟨10.1109/IGARSS.2010⟩ |
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Extension of the Target Scattering Vector Model to the Bistatic CaseIGARSS 2010 - IEEE International Geoscience and Remote Sensing Symposium, Jul 2010, Honolulu, United States. pp.4, ⟨10.1109/IGARSS.2010.5653280⟩ |
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KummerU clutter model for PolSAR data: Application to segmentation and classificationSONDRA - 2nd SONDRA Workshop, May 2010, Cargèse, France. pp.4 |
Fisher PDF for Maximum Likelihood Texture Tracking with High Resolution PolSAR DataEUSAR 2010 - 8th European Conference on Synthetic Aperture Radar, Jun 2010, Aachen, Germany. pp.n.c |
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Hierarchical Segmentation of Polarimetric SAR Images using Heterogeneous Clutter ModelsIGARSS 2009 - IEEE International Geoscience and Remote Sensing Symposium, Jul 2009, Le Cap, South Africa. pp.5-8, ⟨10.1109/IGARSS.2009.5418271⟩ |
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Segmentation and Classification of Polarimetric SAR Data based on the KummerU DistributionPOLinSAR 2009 - 4th International Workshop on Science and Applications of SAR Polarimetry and Polarimetric Interferometry, Jan 2009, Frascati, Italy. pp.6 |
Preliminary Terra SAR-X observations for temperate glaciers on the Chamonix Mont Blanc test siteIGARSS 2009 - IEEE International Geoscience and Remote Sensing Symposium, Jul 2009, Le Cap, South Africa. Paper 2565 |
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Monitoring temperate glaciers : combined use of multi-date TerraSAR-X images and continous GPS measurementsThe Fifth International Workshop on the Analysis of Multi-temporal Remote Sensing Images, Jul 2009, Groton, Connecticut, United States |
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Monitoring temperate glaciers: combined use of multi-date TerraSAR-X images and continous GPS measurementsMULTITEMP 2009 -5th International Workshop on the Analysis of Multitemporal Remote Sensing Images, Jul 2009, Groton, United States. 8 p |
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Segmentation of Polarimetric SAR images based on the SIRV model and the Kummeru PDFGRETSI 2009 - XXIIème Colloque francophone de traitement du signal et des images, Sep 2009, Dijon, France. pp.4 |
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Normalized Coherency Matrix Estimation Under the SIRV Model. Alpine Glacier Polsar Data AnalysisIGARSS 2008 - IEEE International Geoscience and Remote Sensing Symposium, Jul 2008, Boston, United States. ⟨10.1109/IGARSS.2008.4778796⟩ |
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Segmentation of polarimetric SAR data based on the fisher distribution for texture modelingIGARSS 2008 - IEEE International Geoscience and Remote Sensing Symposium, Jul 2008, Boston, MA, United States. pp.350-353 |
Monitoring alpine glacier activity by a combined use of terrasar-x images and continuous gps measurements - the argentière glacier experimentEUSAR 2008 - 7th European Conference on Synthetic Aperture Radar, Jun 2008, Friedrichshafen, Germany |
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Monitoring temperate glaciers by high resolution Pol-InSAR data: First analysis of Argentière E-SAR acquisitions and in-situ measurements.IGARSS 2007 - IEEE International Geoscience and Remote Sensing Symposium, 2007, Barcelone, Spain. 4p |
Monitoring temperate glaciers by high resolution Pol-InSAR data: first analysis of Argentière E-SAR acquisitions and in-situ measurementsIGARSS 2007 - IEEE International Geoscience and Remote Sensing Symposium, Jul 2007, Barcelone, Spain. pp.CDROM |
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Suivi des glaciers tempérés à partir de données Pol-InSAR haute résolution spatiale : premières analyses d'acquisitions E-SAR couplées à des mesures in-situ sur le glacier d'Argentière.Société Hydrotechnique de France (SHF), Section de Glaciologie-Nivologie, Mar 2007, Saint Martin d'Hères, France |
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Three-dimensional surface velocities of Argentiere and Mer de Glace glaciers, France, derived from radar interferometry : Analysis and comparison with in-situ measurements.EGU 2007 - European Geosciences Union General Assembly, Apr 2007, Vienne, Austria. pp.Vol. 9, 10032,2007 |
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Coherent-stable scatterers detection in SAR multi-interferograms: feature fuzzy fusion in Alpine glacier geophysical contextIGARSS 2007 - IEEE International Geoscience and Remote Sensing Symposium, Jul 2007, Barcelone, Spain |
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Multi-date ERS tandem interferogram analysis: application to alpine glaciersMULTITEMP 2007 - 4th International Workshop on the Analysis of Multitemporal Remote Sensing Images, Jul 2007, Leuven, Belgium. pp.1-6 |
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Monitoring Alpine Glaciers with ALOS SAR and Optical dataLSI 2007, 2007, -, Japan. pp.1-4 |
Feature detection in POLinSAR images by an interactive fuzzy fusion approach. Application to glacier monitoringPOLinSAR 2007 - 3rd International Workshop on Science and Applications of SAR Polarimetry and Polarimetric Interferometry, Jan 2007, Frascati, Italy. pp.CDROM |
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Use of Statistical Hypothesis Test for Mines Detection in SAS Imagery14th European Signal Processing Conference (EUSIPCO), 2006, Florence, Italy |
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High Resolution SAR Interferometry: influence of local topography in the context of glacier monitoringInternational Geoscience And Remote Sensing Symposium, Jul 2006, Denver, United States. pp.4008-4011 |
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High Resolution SAR Interferometry: influence of local topography in the context of glacier monitoringInternational Geoscience And Remote Sensing Symposium, Jul 2006, Denver, United States. pp.1-4 |
Airborne remote sensing of vineyards for the detection of dead vine trees2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05., 2005, Seoul, South Korea. pp.3090-3093, ⟨10.1109/IGARSS.2005.1526490⟩ |
Wavelet based texture modeling for VHR image classification: application to the differentiation of maritime pine forest age classesPleiades Days, Apr 2014, Toulouse, France. , 2014 |
Warped Riemannian Metrics for Location-Scale ModelsGeometric Structures of Information, Springer International Publishing, pp.251-296, 2019, Signals and Communication Technology, ⟨10.1007/978-3-030-02520-5_10⟩ |
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Change detection in remote sensing observationsJ. Chanussot, Ch. Collet and K. Chehdi. Multivariate Image Processing: Methods and Applications, ISTE Ltd and John Wiley & Sons Inc, pp. 95-142, 2010, Digital Signal and Image Processing Series |
Procédé de segmentation d’image(s) et de localisation d’éléments caractéristiques prédéterminés d’un environnement d’atterrissage d’un aéronefFrance, N° de brevet: FR2309055. 2025 |
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Vine Vigour Characterization using a Multi-temporal X-band SAR Very High Resolution dataset2019 |
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A GEOMETRIC LEARNING APPROACH ON THE SPACE OF COMPLEX COVARIANCE MATRICES2017 |
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Riemannian Laplace distribution on the space of symmetric positive definite matrices2015 |
Mesure de grands déplacements a partir de données Radar a Synthese d'Ouverture (RSO) multivariées[Rapport de recherche] GIPSA-LAB. 2009, 66 p |
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Développement d'outils et de méthodes de télédétection spatiale optique et radar nécessaires à la haute résolution spatialeTraitement du signal et de l'image [eess.SP]. Institut National Polytechnique de Grenoble - INPG, 2008. Français. ⟨NNT : ⟩ |
Modèles stochastiques multivariés et méthodes de classification sur l’espace des matrices de covariance : applications en proxidétection et télédétectionTraitement du signal et de l'image [eess.SP]. Université bordeaux, 2025 |