Mathieu Fauvel

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 29

Top Venues

Remote. Sens.

IEEE Trans. Geosci. Remote. Sens.

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.

CoRR

Grenoble Institute of Technology, France (PHD)

Education History

Grenoble Institute of Technology, France

PHD

Publications

Valentine Bellet, Mathieu Fauvel, Jordi Inglada, Julien Michel
End-to-End Learning for Land Cover Classification Using Irregular and Unaligned SITS by Combining Attention-Based Interpolation With Sparse Variational Gaussian Processes. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17 (2024)
Valentine Bellet, Mathieu Fauvel, Jordi Inglada
Land Cover Classification With Gaussian Processes Using Spatio-Spectro-Temporal Features. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Alexandre Constantin, Mathieu Fauvel, Stéphane Girard
Joint Supervised Classification and Reconstruction of Irregularly Sampled Satellite Image Times Series. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Alexandre Constantin, Mathieu Fauvel, Stéphane Girard
Mixture of multivariate Gaussian processes for classification of irregularly sampled satellite image time-series. Stat. Comput. 32 (5) (2022)
Erwan Giry-Fouquet, Mathieu Fauvel, Clément Mallet
Fast estimation for robust supervised classification with mixture models. Pattern Recognit. Lett. 152 (2021)
Adrien Lagrange, Mathieu Fauvel, Stéphane May, José M. Bioucas-Dias, Nicolas Dobigeon
Matrix cofactorization for joint representation learning and supervised classification - Application to hyperspectral image analysis. Neurocomputing 385 (2020)
Tatsumi Uezato, Mathieu Fauvel, Nicolas Dobigeon
Hierarchical Sparse Nonnegative Matrix Factorization for Hyperspectral Unmixing with Spectral Variability. Remote. Sens. 12 (14) (2020)
Adrien Lagrange, Mathieu Fauvel, Stéphane May, Nicolas Dobigeon
Matrix Cofactorization for Joint Spatial-Spectral Unmixing of Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 58 (7) (2020)
Adrien Lagrange, Mathieu Fauvel, Stéphane May, José M. Bioucas-Dias, Nicolas Dobigeon
Matrix Cofactorization for Joint Representation Learning and Supervised Classification - Application to Hyperspectral Image Analysis. CoRR (2019)
Adrien Lagrange, Mathieu Fauvel, Stéphane May, Nicolas Dobigeon
Matrix cofactorization for joint spatial-spectral unmixing of hyperspectral images. CoRR (2019)
Tatsumi Uezato, Mathieu Fauvel, Nicolas Dobigeon
Hyperspectral Unmixing With Spectral Variability Using Adaptive Bundles and Double Sparsity. IEEE Trans. Geosci. Remote. Sens. 57 (6) (2019)
Josselin Aval, Jean Demuynck, Emmanuel Zenou, Sophie Fabre, David Sheeren, Mathieu Fauvel, Xavier Briottet
Identification of the London plane in urban alignment based on hyperspectral data and contextual information. JURSE (2019)
Xin Huang, X. X. Zhu, Fabio Dell'Acqua, Mathieu Fauvel, Mauro Dalla Mura, Fabrizio Lombardini
Foreword to the Special Issue on Recent Advances in Processing of High-Spatial-Resolution Remote Sensing Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12 (8) (2019)
Nicolas Karasiak, Jean-François Dejoux, Mathieu Fauvel, Jérôme Willm, Claude Monteil, David Sheeren
Statistical Stability and Spatial Instability in Mapping Forest Tree Species by Comparing 9 Years of Satellite Image Time Series. Remote. Sens. 11 (21) (2019)
Adrien Lagrange, Mathieu Fauvel, Stéphane May, José M. Bioucas-Dias, Nicolas Dobigeon
Matrix Cofactorization for Joint Unmixing and Classification of Hyperspectral Images. EUSIPCO (2019)
Adrien Lagrange, Mathieu Fauvel, Stéphane May, Nicolas Dobigeon
Hierarchical Bayesian image analysis: From low-level modeling to robust supervised learning. Pattern Recognit. 85 (2019)
Tatsumi Uezato, Mathieu Fauvel, Nicolas Dobigeon
Hyperspectral Image Unmixing With LiDAR Data-Aided Spatial Regularization. IEEE Trans. Geosci. Remote. Sens. 56 (7) (2018)
Adrien Lagrange, Mathieu Fauvel, Stéphane May, Nicolas Dobigeon
A Bayesian Model for Joint Unmixing and Robust Classification of Hyperspectral Images. ICASSP (2018)
Tatsumi Uezato, Mathieu Fauvel, Nicolas Dobigeon
Lidar-Driven Spatial Regularization for Hyperspectral Unmixing. IGARSS (2018)
Tatsumi Uezato, Mathieu Fauvel, Nicolas Dobigeon
A multiple endmember mixing model to handle spectral variability in hyperspectral unmixing. WHISPERS (2018)
Maïlys Lopes, Mathieu Fauvel, Stéphane Girard, David Sheeren
Object-Based Classification of Grasslands from High Resolution Satellite Image Time Series Using Gaussian Mean Map Kernels. Remote. Sens. 9 (7) (2017)
Maïlys Lopes, Mathieu Fauvel, Annie Ouin, Stéphane Girard
Potential of Sentinel-2 and SPOT5 (Take5) time series for the estimation of grasslands biodiversity indices. MultiTemp (2017)
Nicolas Karasiak, David Sheeren, Mathieu Fauvel, Jérôme Willm, Jean-François Dejoux, Claude Monteil
Mapping tree species of forests in southwest France using Sentinel-2 image time series. MultiTemp (2017)
Adrien Lagrange, Mathieu Fauvel, Stéphane May, Nicolas Dobigeon
Hierarchical Bayesian image analysis: from low-level modeling to robust supervised learning. CoRR (2017)
Adrien Lagrange, Mathieu Fauvel, Manuel Grizonnet
Large-Scale Feature Selection With Gaussian Mixture Models for the Classification of High Dimensional Remote Sensing Images. IEEE Trans. Computational Imaging 3 (2) (2017)
Maïlys Lopes, Mathieu Fauvel, Annie Ouin, Stéphane Girard
Spectro-Temporal Heterogeneity Measures from Dense High Spatial Resolution Satellite Image Time Series: Application to Grassland Species Diversity Estimation. Remote. Sens. 9 (10) (2017)
Emmanuel Trouvé, Grégoire Mercier, Mathieu Fauvel, Lorenzo Bruzonne, Yifang Ban
Foreword to the Special Issue on Analysis of Multitemporal Data and Applications. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9 (8) (2016)
Maïlys Lopes, Mathieu Fauvel, Stéphane Girard, David Sheeren
High dimensional Kullback-Leibler divergence for grassland management practices classification from high resolution satellite image time series. IGARSS (2016)
David Sheeren, Mathieu Fauvel, Veliborka Josipovic, Maïlys Lopes, Carole Planque, Jérôme Willm, Jean-François Dejoux
Tree Species Classification in Temperate Forests Using Formosat-2 Satellite Image Time Series. Remote. Sens. 8 (9) (2016)
David Sheeren, Mathieu Fauvel, Carole Planque, Jérôme Willm, Jean-François Dejoux
Tree species discrimination in temperate woodland using high spatial resolution Formosat-2 time series. MultiTemp (2015)
Charles Bouveyron, Mathieu Fauvel, Stéphane Girard
Kernel discriminant analysis and clustering with parsimonious Gaussian process models. Stat. Comput. 25 (6) (2015)
Mathieu Fauvel, Clément Dechesne, Anthony Zullo, Frédéric Ferraty
Fast Forward Feature Selection of Hyperspectral Images for Classification With Gaussian Mixture Models. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8 (6) (2015)
Xin Huang, Mathieu Fauvel, Mauro Dalla Mura, Liangpei Zhang
Foreword to the Special Issue on Information Extraction From High-Spatial-Resolution Optical Remotely Sensed Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8 (5) (2015)
Mathieu Fauvel, Clément Dechesne, Anthony Zullo, Frédéric Ferraty
Fast forward feature selection for the nonlinear classification of hyperspectral images. CoRR (2015)
Rémi Flamary, Mathieu Fauvel, Mauro Dalla Mura, Silvia Valero
Analysis of Multitemporal Classification Techniques for Forecasting Image Time Series. IEEE Geosci. Remote. Sens. Lett. 12 (5) (2015)
Mathieu Fauvel, Charles Bouveyron, Stéphane Girard
Parsimonious Gaussian Process Models for the Classification of Hyperspectral Remote Sensing Images. IEEE Geosci. Remote. Sens. Lett. 12 (12) (2015)
Pierre-Alexis Herrault, David Sheeren, Mathieu Fauvel, Martin Paegelow
Vectorisation automatique des forêts dans les minutes de la carte d'état-major du 19e siècle. Rev. Int. Géomatique 25 (1) (2015)
Anthony Zullo, Mathieu Fauvel, Frédéric Ferraty, Michel Goulard, Philippe Vieu
Non-parametric functional methods for hyperspectral image classification. IGARSS (2014)
Mathieu Fauvel, Charles Bouveyron, Stéphane Girard
Parsimonious Gaussian process models for the classification of multivariate remote sensing images. ICASSP (2014)
Mathieu Fauvel, Anthony Zullo, Frédéric Ferraty
Nonlinear parsimonious feature selection for the classification of hyperspectral images. WHISPERS (2014)
Mathieu Fauvel, Carole Planque, David Sheeren, Mauro Dalla Mura, François Cokelaer, J. Chanussov, Hugues Talbot
Robust path opening versus path opening for the detection of hedgerows in rural landscapes. IGARSS (2014)
Pedram Ghamisi, Micael S. Couceiro, Mathieu Fauvel, Jón Atli Benediktsson
Integration of Segmentation Techniques for Classification of Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. 11 (1) (2014)
Pierre-Alexis Herrault, David Sheeren, Mathieu Fauvel, Martin Paegelow
Automatic Extraction of Forests from Historical Maps Based on Unsupervised Classification in the CIELab Color Space. AGILE Conf. (2013)
Mathieu Fauvel, Yuliya Tarabalka, Jón Atli Benediktsson, Jocelyn Chanussot, James C. Tilton
Advances in Spectral-Spatial Classification of Hyperspectral Images. Proc. IEEE 101 (3) (2013)
Mathieu Fauvel, Jocelyn Chanussot, Jón Atli Benediktsson, Alberto Villa
Parsimonious Mahalanobis kernel for the classification of high dimensional data. Pattern Recognit. 46 (3) (2013)
Pedram Ghamisi, Micael S. Couceiro, Mathieu Fauvel, Jón Atli Benediktsson
Spectral-spatial classification based on integrated segmentation. IGARSS (2013)
Mathieu Fauvel, Benoit Arbelot, Jón Atli Benediktsson, David Sheeren, Jocelyn Chanussot
Detection of Hedges in a Rural Landscape Using a Local Orientation Feature: From Linear Opening to Path Opening. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 6 (1) (2013)
David Sheeren, Antoine Masse, Fanny Collard, Stéphane May, Danielle Ducrot, Mathieu Fauvel
La télédétection pour la cartographie de la trame verte en milieu agricole. Évaluation des potentialités d'images multi-angulaires à très haute résolution spatiale. Rev. Int. Géomatique 22 (4) (2012)
Mathieu Fauvel
Kernel matrix approximation for learning the kernel hyperparameters. IGARSS (2012)
Mathieu Fauvel, David Sheeren, Jocelyn Chanussot, Jón Atli Benediktsson
Hedges detection using local directional features and support vector data description. IGARSS (2012)
Mathieu Fauvel, Alberto Villa, Jocelyn Chanussot, Jón Atli Benediktsson
Parsimonious Mahalanobis Kernel for the Classification of High Dimensional Data CoRR (2012)
Mathieu Fauvel, Jocelyn Chanussot, Jón Atli Benediktsson
A spatial-spectral kernel-based approach for the classification of remote-sensing images. Pattern Recognit. 45 (1) (2012)
Mathieu Fauvel, Alberto Villa, Jocelyn Chanussot, Jón Atli Benediktsson
Mahalanobis kernel based on probabilistic principal component. IGARSS (2011)
David Sheeren, Mathieu Fauvel, Sylvie Ladet, Anne Jacquin, Georges Bertoni, Annick Gibon
Mapping ash tree colonization in an agricultural mountain landscape: Investigating the potential of hyperspectral imagery. IGARSS (2011)
Yuliya Tarabalka, Mathieu Fauvel, Jocelyn Chanussot, Jón Atli Benediktsson
SVM- and MRF-Based Method for Accurate Classification of Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. 7 (4) (2010)
Mathieu Fauvel, Alberto Villa, Jocelyn Chanussot, Jón Atli Benediktsson
Mahalanobis kernel for the classification of hyperspectral images. IGARSS (2010)
Mathieu Fauvel, Jocelyn Chanussot, Jón Atli Benediktsson
Kernel Principal Component Analysis for the Classification of Hyperspectral Remote Sensing Data over Urban Areas. EURASIP J. Adv. Signal Process. 2009 (2009)
Caroline Bernard-Michel, Sylvain Douté, Mathieu Fauvel, Laurent Gardes, Stéphane Girard
Support vectors machines regression for estimation of mars surface physical properties. ESANN (2009)
Caroline Bernard-Michel, Sylvain Douté, Mathieu Fauvel, Laurent Gardes, Stéphane Girard
Machine learning techniques for the inversion of planetary hyperspectral images. WHISPERS (2009)
Mathieu Fauvel, Jocelyn Chanussot, Jón Atli Benediktsson
Kernel Principal Component Analysis for the Construction of the Extended Morphological Profile. IGARSS (2) (2009)
Mathieu Fauvel, Jón Atli Benediktsson, Jocelyn Chanussot, Johannes R. Sveinsson
Spectral and Spatial Classification of Hyperspectral Data Using SVMs and Morphological Profiles. IEEE Trans. Geosci. Remote. Sens. 46 (11) (2008)
Mathieu Fauvel, Jocelyn Chanussot, Jón Atli Benediktsson
Adaptive pixel neighborhood definition for the classification of hyperspectral images with support vector machines and composite kernel. ICIP (2008)
Jón Atli Benediktsson, Xavier Ceamanos, Björn Waske, Jocelyn Chanussot, Johannes R. Sveinsson, Mathieu Fauvel
Ensemble Methods for Classification of Hyperspectral Data. IGARSS (1) (2008)
Alberto Villa, Mathieu Fauvel, Jocelyn Chanussot, Paolo Gamba, Jón Atli Benediktsson
Gradient Optimization for multiple kernel's parameters in support vector machines classification. IGARSS (4) (2008)
Yuliya Tarabalka, Jocelyn Chanussot, Jón Atli Benediktsson, Jesús Angulo, Mathieu Fauvel
Segmentation and Classification of Hyperspectral Data using Watershed. IGARSS (3) (2008)
Jón Atli Benediktsson, Jocelyn Chanussot, Mathieu Fauvel
Multiple Classifier Systems in Remote Sensing: From Basics to Recent Developments. MCS (2007)
Mathieu Fauvel, Jocelyn Chanussot, Jón Atli Benediktsson, Johannes R. Sveinsson
Spectral and spatial classification of hyperspectral data using SVMs and morphological profiles. IGARSS (2007)
Mathieu Fauvel, Jocelyn Chanussot, Jón Atli Benediktsson
A joint spatial and spectral SVM's classification of panchromatic images. IGARSS (2007)
Mathieu Fauvel, Jocelyn Chanussot, Jón Atli Benediktsson
A Combined Support Vector Machines Classification Based on Decision Fusion. IGARSS (2006)
Mathieu Fauvel, Jocelyn Chanussot, Jón Atli Benediktsson
Decision Fusion for the Classification of Urban Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 44 (10-1) (2006)
Jocelyn Chanussot, Jón Atli Benediktsson, Mathieu Fauvel
Classification of remote sensing images from urban areas using a fuzzy possibilistic model. IEEE Geosci. Remote. Sens. Lett. 3 (1) (2006)
Antonio J. Plaza, Jón Atli Benediktsson, Joseph W. Boardman, Jason Brazile, Lorenzo Bruzzone, Gustavo Camps-Valls, Jocelyn Chanussot, Mathieu Fauvel, Paolo Gamba, J. Anthony Gualtieri, James C. Tilton, Giovanna Trianni
Advanced Processing of Hyperspectral Images. IGARSS (2006)
Mathieu Fauvel, Jocelyn Chanussot, Jón Atli Benediktsson
Evaluation of Kernels for Multiclass Classification of Hyperspectral Remote Sensing Data. ICASSP (2) (2006)
Mathieu Fauvel, Jocelyn Chanussot, Jón Atli Benediktsson
Fusion of methods for the classification of remote sensing images from urban areas. IGARSS (2005)

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Publication Activity (10 Years)

Top Topics

Top Venues

Mathieu Fauvel