Fusion of methods for the classification of remote sensing images from urban areas. - Mathieu Fauvel; Jocelyn Chanussot; Jón Atli Benediktsson (IGARSS, 2005)

Evaluation of Kernels for Multiclass Classification of Hyperspectral Remote Sensing Data. - Mathieu Fauvel; Jocelyn Chanussot; Jón Atli Benediktsson (ICASSP (2), 2006)

A Combined Support Vector Machines Classification Based on Decision Fusion. - Mathieu Fauvel; Jocelyn Chanussot; Jón Atli Benediktsson (IGARSS, 2006)

Advanced Processing of Hyperspectral Images. - 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 (IGARSS, 2006)

Classification of remote sensing images from urban areas using a fuzzy possibilistic model. - Jocelyn Chanussot; Jón Atli Benediktsson; Mathieu Fauvel (IEEE Geosci. Remote. Sens. Lett., 2006)

Decision Fusion for the Classification of Urban Remote Sensing Images. - Mathieu Fauvel; Jocelyn Chanussot; Jón Atli Benediktsson (IEEE Trans. Geosci. Remote. Sens., 2006)

A joint spatial and spectral SVM's classification of panchromatic images. - Mathieu Fauvel; Jocelyn Chanussot; Jón Atli Benediktsson (IGARSS, 2007)

Multiple Classifier Systems in Remote Sensing: From Basics to Recent Developments. - Jón Atli Benediktsson; Jocelyn Chanussot; Mathieu Fauvel (MCS, 2007)

Spectral and Spatial Methods for the Classification of Urban Remote Sensing Data. - Mathieu Fauvel (2007)

Adaptive pixel neighborhood definition for the classification of hyperspectral images with support vector machines and composite kernel. - Mathieu Fauvel; Jocelyn Chanussot; Jón Atli Benediktsson (ICIP, 2008)

Ensemble Methods for Classification of Hyperspectral Data. - Jón Atli Benediktsson; Xavier Ceamanos; Björn Waske; Jocelyn Chanussot; Johannes R. Sveinsson; Mathieu Fauvel (IGARSS (1), 2008)

Segmentation and Classification of Hyperspectral Data using Watershed. - Yuliya Tarabalka; Jocelyn Chanussot; Jón Atli Benediktsson; Jesús Angulo; Mathieu Fauvel (IGARSS (3), 2008)

Gradient Optimization for multiple kernel's parameters in support vector machines classification. - Alberto Villa; Mathieu Fauvel; Jocelyn Chanussot; Paolo Gamba; Jón Atli Benediktsson (IGARSS (4), 2008)

Spectral and Spatial Classification of Hyperspectral Data Using SVMs and Morphological Profiles. - Mathieu Fauvel; Jón Atli Benediktsson; Jocelyn Chanussot; Johannes R. Sveinsson (IEEE Trans. Geosci. Remote. Sens., 2008)

Support vectors machines regression for estimation of mars surface physical properties. - Caroline Bernard-Michel; Sylvain Douté; Mathieu Fauvel; Laurent Gardes; Stéphane Girard (ESANN, 2009)

Kernel Principal Component Analysis for the Construction of the Extended Morphological Profile. - Mathieu Fauvel; Jocelyn Chanussot; Jón Atli Benediktsson (IGARSS (2), 2009)

Machine learning techniques for the inversion of planetary hyperspectral images. - Caroline Bernard-Michel; Sylvain Douté; Mathieu Fauvel; Laurent Gardes; Stéphane Girard (WHISPERS, 2009)

Kernel Principal Component Analysis for the Classification of Hyperspectral Remote Sensing Data over Urban Areas. - Mathieu Fauvel; Jocelyn Chanussot; Jón Atli Benediktsson (EURASIP J. Adv. Signal Process., 2009)

Mahalanobis kernel for the classification of hyperspectral images. - Mathieu Fauvel; Alberto Villa; Jocelyn Chanussot; Jón Atli Benediktsson (IGARSS, 2010)

SVM- and MRF-Based Method for Accurate Classification of Hyperspectral Images. - Yuliya Tarabalka; Mathieu Fauvel; Jocelyn Chanussot; Jón Atli Benediktsson (IEEE Geosci. Remote. Sens. Lett., 2010)

Mahalanobis kernel based on probabilistic principal component. - Mathieu Fauvel; Alberto Villa; Jocelyn Chanussot; Jón Atli Benediktsson (IGARSS, 2011)

Mapping ash tree colonization in an agricultural mountain landscape: Investigating the potential of hyperspectral imagery. - David Sheeren; Mathieu Fauvel; Sylvie Ladet; Anne Jacquin; Georges Bertoni; Annick Gibon (IGARSS, 2011)

Kernel matrix approximation for learning the kernel hyperparameters. - Mathieu Fauvel (IGARSS, 2012)

Hedges detection using local directional features and support vector data description. - Mathieu Fauvel; David Sheeren; Jocelyn Chanussot; Jón Atli Benediktsson (IGARSS, 2012)

A spatial-spectral kernel-based approach for the classification of remote-sensing images. - Mathieu Fauvel; Jocelyn Chanussot; Jón Atli Benediktsson (Pattern Recognit., 2012)

La télédétection pour la cartographie de la trame verte en milieu agricole. Évaluation des potentialités d'images multi-angulaires à très haute résolution spatiale. - David Sheeren; Antoine Masse; Fanny Collard; Stéphane May; Danielle Ducrot; Mathieu Fauvel (Rev. Int. Géomatique, 2012)

Automatic Extraction of Forests from Historical Maps Based on Unsupervised Classification in the CIELab Color Space. - Pierre-Alexis Herrault; David Sheeren; Mathieu Fauvel; Martin Paegelow (AGILE Conf., 2013)

Spectral-spatial classification based on integrated segmentation. - Pedram Ghamisi; Micael S. Couceiro; Mathieu Fauvel; Jón Atli Benediktsson (IGARSS, 2013)

Advances in Spectral-Spatial Classification of Hyperspectral Images. - Mathieu Fauvel; Yuliya Tarabalka; Jón Atli Benediktsson; Jocelyn Chanussot; James C. Tilton (Proc. IEEE, 2013)

Parsimonious Mahalanobis kernel for the classification of high dimensional data. - Mathieu Fauvel; Jocelyn Chanussot; Jón Atli Benediktsson; Alberto Villa (Pattern Recognit., 2013)

Detection of Hedges in a Rural Landscape Using a Local Orientation Feature: From Linear Opening to Path Opening. - Mathieu Fauvel; Benoit Arbelot; Jón Atli Benediktsson; David Sheeren; Jocelyn Chanussot (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2013)

Parsimonious Gaussian process models for the classification of multivariate remote sensing images. - Mathieu Fauvel; Charles Bouveyron; Stéphane Girard (ICASSP, 2014)

Robust path opening versus path opening for the detection of hedgerows in rural landscapes. - Mathieu Fauvel; Carole Planque; David Sheeren; Mauro Dalla Mura; François Cokelaer; J. Chanussov; Hugues Talbot (IGARSS, 2014)

Non-parametric functional methods for hyperspectral image classification. - Anthony Zullo; Mathieu Fauvel; Frédéric Ferraty; Michel Goulard; Philippe Vieu (IGARSS, 2014)

Nonlinear parsimonious feature selection for the classification of hyperspectral images. - Mathieu Fauvel; Anthony Zullo; Frédéric Ferraty (WHISPERS, 2014)

Integration of Segmentation Techniques for Classification of Hyperspectral Images. - Pedram Ghamisi; Micael S. Couceiro; Mathieu Fauvel; Jón Atli Benediktsson (IEEE Geosci. Remote. Sens. Lett., 2014)

Tree species discrimination in temperate woodland using high spatial resolution Formosat-2 time series. - David Sheeren; Mathieu Fauvel; Carole Planque; Jérôme Willm; Jean-François Dejoux (MultiTemp, 2015)

Fast forward feature selection for the nonlinear classification of hyperspectral images. - Mathieu Fauvel; Clément Dechesne; Anthony Zullo; Frédéric Ferraty (CoRR, 2015)

Parsimonious Gaussian Process Models for the Classification of Hyperspectral Remote Sensing Images. - Mathieu Fauvel; Charles Bouveyron; Stéphane Girard (IEEE Geosci. Remote. Sens. Lett., 2015)

Analysis of Multitemporal Classification Techniques for Forecasting Image Time Series. - Rémi Flamary; Mathieu Fauvel; Mauro Dalla Mura; Silvia Valero (IEEE Geosci. Remote. Sens. Lett., 2015)

Vectorisation automatique des forêts dans les minutes de la carte d'état-major du 19e siècle. - Pierre-Alexis Herrault; David Sheeren; Mathieu Fauvel; Martin Paegelow (Rev. Int. Géomatique, 2015)

Kernel discriminant analysis and clustering with parsimonious Gaussian process models. - Charles Bouveyron; Mathieu Fauvel; Stéphane Girard (Stat. Comput., 2015)

Foreword to the Special Issue on Information Extraction From High-Spatial-Resolution Optical Remotely Sensed Imagery. - Xin Huang 002; Mathieu Fauvel; Mauro Dalla Mura; Liangpei Zhang 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015)

Fast Forward Feature Selection of Hyperspectral Images for Classification With Gaussian Mixture Models. - Mathieu Fauvel; Clément Dechesne; Anthony Zullo; Frédéric Ferraty (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015)

High dimensional Kullback-Leibler divergence for grassland management practices classification from high resolution satellite image time series. - Maïlys Lopes; Mathieu Fauvel; Stéphane Girard; David Sheeren (IGARSS, 2016)

Tree Species Classification in Temperate Forests Using Formosat-2 Satellite Image Time Series. - David Sheeren; Mathieu Fauvel; Veliborka Josipovic; Maïlys Lopes; Carole Planque; Jérôme Willm; Jean-François Dejoux (Remote. Sens., 2016)

Foreword to the Special Issue on Analysis of Multitemporal Data and Applications. - Emmanuel Trouvé; Grégoire Mercier; Mathieu Fauvel; Lorenzo Bruzonne; Yifang Ban (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

Mapping tree species of forests in southwest France using Sentinel-2 image time series. - Nicolas Karasiak; David Sheeren; Mathieu Fauvel; Jérôme Willm; Jean-François Dejoux; Claude Monteil (MultiTemp, 2017)

Potential of Sentinel-2 and SPOT5 (Take5) time series for the estimation of grasslands biodiversity indices. - Maïlys Lopes; Mathieu Fauvel; Annie Ouin; Stéphane Girard (MultiTemp, 2017)

Object-Based Classification of Grasslands from High Resolution Satellite Image Time Series Using Gaussian Mean Map Kernels. - Maïlys Lopes; Mathieu Fauvel; Stéphane Girard; David Sheeren (Remote. Sens., 2017)

Spectro-Temporal Heterogeneity Measures from Dense High Spatial Resolution Satellite Image Time Series: Application to Grassland Species Diversity Estimation. - Maïlys Lopes; Mathieu Fauvel; Annie Ouin; Stéphane Girard (Remote. Sens., 2017)

Large-Scale Feature Selection With Gaussian Mixture Models for the Classification of High Dimensional Remote Sensing Images. - Adrien Lagrange; Mathieu Fauvel; Manuel Grizonnet (IEEE Trans. Computational Imaging, 2017)

A Bayesian Model for Joint Unmixing and Robust Classification of Hyperspectral Images. - Adrien Lagrange; Mathieu Fauvel; Stéphane May; Nicolas Dobigeon (ICASSP, 2018)

Lidar-Driven Spatial Regularization for Hyperspectral Unmixing. - Tatsumi Uezato; Mathieu Fauvel; Nicolas Dobigeon (IGARSS, 2018)

A multiple endmember mixing model to handle spectral variability in hyperspectral unmixing. - Tatsumi Uezato; Mathieu Fauvel; Nicolas Dobigeon (WHISPERS, 2018)

Hyperspectral Image Unmixing With LiDAR Data-Aided Spatial Regularization. - Tatsumi Uezato; Mathieu Fauvel; Nicolas Dobigeon (IEEE Trans. Geosci. Remote. Sens., 2018)

Data Set: Hyperspectral image unmixing with LiDAR data-aided spatial regularization. - Tatsumi Uezato; Mathieu Fauvel; Nicolas Dobigeon (Zenodo, 2018)

Matrix Cofactorization for Joint Unmixing and Classification of Hyperspectral Images. - Adrien Lagrange; Mathieu Fauvel; Stéphane May; José M. Bioucas-Dias; Nicolas Dobigeon (EUSIPCO, 2019)

Identification of the London plane in urban alignment based on hyperspectral data and contextual information. - Josselin Aval; Jean Demuynck; Emmanuel Zenou; Sophie Fabre; David Sheeren; Mathieu Fauvel; Xavier Briottet (JURSE, 2019)

Hierarchical Bayesian image analysis: From low-level modeling to robust supervised learning. - Adrien Lagrange; Mathieu Fauvel; Stéphane May; Nicolas Dobigeon (Pattern Recognit., 2019)

Statistical Stability and Spatial Instability in Mapping Forest Tree Species by Comparing 9 Years of Satellite Image Time Series. - Nicolas Karasiak; Jean-François Dejoux; Mathieu Fauvel; Jérôme Willm; Claude Monteil; David Sheeren (Remote. Sens., 2019)

Foreword to the Special Issue on Recent Advances in Processing of High-Spatial-Resolution Remote Sensing Data. - Xin Huang 002; X. X. Zhu; Fabio Dell'Acqua; Mathieu Fauvel; Mauro Dalla Mura; Fabrizio Lombardini (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

Hyperspectral Unmixing With Spectral Variability Using Adaptive Bundles and Double Sparsity. - Tatsumi Uezato; Mathieu Fauvel; Nicolas Dobigeon (IEEE Trans. Geosci. Remote. Sens., 2019)

Matrix cofactorization for joint representation learning and supervised classification - Application to hyperspectral image analysis. - Adrien Lagrange; Mathieu Fauvel; Stéphane May; José M. Bioucas-Dias; Nicolas Dobigeon (Neurocomputing, 2020)

Hierarchical Sparse Nonnegative Matrix Factorization for Hyperspectral Unmixing with Spectral Variability. - Tatsumi Uezato; Mathieu Fauvel; Nicolas Dobigeon (Remote. Sens., 2020)

Matrix Cofactorization for Joint Spatial-Spectral Unmixing of Hyperspectral Images. - Adrien Lagrange; Mathieu Fauvel; Stéphane May; Nicolas Dobigeon (IEEE Trans. Geosci. Remote. Sens., 2020)

Fast estimation for robust supervised classification with mixture models. - Erwan Giry-Fouquet; Mathieu Fauvel; Clément Mallet (Pattern Recognit. Lett., 2021)

Mixture of multivariate Gaussian processes for classification of irregularly sampled satellite image time-series. - Alexandre Constantin; Mathieu Fauvel; Stéphane Girard (Stat. Comput., 2022)

Joint Supervised Classification and Reconstruction of Irregularly Sampled Satellite Image Times Series. - Alexandre Constantin; Mathieu Fauvel; Stéphane Girard (IEEE Trans. Geosci. Remote. Sens., 2022)

Monitoring Ecosystems with Remote Sensing. - Mathieu Fauvel (2023)

Land Cover Classification With Gaussian Processes Using Spatio-Spectro-Temporal Features. - Valentine Bellet; Mathieu Fauvel; Jordi Inglada (IEEE Trans. Geosci. Remote. Sens., 2023)

End-to-End Learning for Land Cover Classification Using Irregular and Unaligned SITS by Combining Attention-Based Interpolation With Sparse Variational Gaussian Processes. - Valentine Bellet; Mathieu Fauvel; Jordi Inglada; Julien Michel (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)