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2020 – today
- 2024
[j35]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: 2980-2994 (2024)- 2023
- [b2]Mathieu Fauvel:
Monitoring Ecosystems with Remote Sensing. Paul Sabatier University, Toulouse, France, 2023 - [j34]Valentine Bellet, Mathieu Fauvel, Jordi Inglada:
Land Cover Classification With Gaussian Processes Using Spatio-Spectro-Temporal Features. IEEE Trans. Geosci. Remote. Sens. 61: 1-21 (2023) - 2022
- [j33]Alexandre Constantin, Mathieu Fauvel, Stéphane Girard:
Mixture of multivariate Gaussian processes for classification of irregularly sampled satellite image time-series. Stat. Comput. 32(5): 79 (2022) - [j32]Alexandre Constantin, Mathieu Fauvel, Stéphane Girard:
Joint Supervised Classification and Reconstruction of Irregularly Sampled Satellite Image Times Series. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - 2021
- [j31]Erwan Giry-Fouquet, Mathieu Fauvel, Clément Mallet:
Fast estimation for robust supervised classification with mixture models. Pattern Recognit. Lett. 152: 320-326 (2021) - 2020
- [j30]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: 132-147 (2020) - [j29]Tatsumi Uezato, Mathieu Fauvel, Nicolas Dobigeon:
Hierarchical Sparse Nonnegative Matrix Factorization for Hyperspectral Unmixing with Spectral Variability. Remote. Sens. 12(14): 2326 (2020) - [j28]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): 4915-4927 (2020)
2010 – 2019
- 2019
- [j27]Adrien Lagrange, Mathieu Fauvel, Stéphane May, Nicolas Dobigeon:
Hierarchical Bayesian image analysis: From low-level modeling to robust supervised learning. Pattern Recognit. 85: 26-36 (2019) - [j26]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): 2512 (2019) - [j25]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): 2588-2593 (2019) - [j24]Tatsumi Uezato, Mathieu Fauvel, Nicolas Dobigeon:
Hyperspectral Unmixing With Spectral Variability Using Adaptive Bundles and Double Sparsity. IEEE Trans. Geosci. Remote. Sens. 57(6): 3980-3992 (2019) - [c34]Adrien Lagrange, Mathieu Fauvel, Stéphane May, José M. Bioucas-Dias, Nicolas Dobigeon:
Matrix Cofactorization for Joint Unmixing and Classification of Hyperspectral Images. EUSIPCO 2019: 1-5 - [c33]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: 1-4 - [i5]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 abs/1902.02597 (2019) - [i4]Adrien Lagrange, Mathieu Fauvel, Stéphane May, Nicolas Dobigeon:
Matrix cofactorization for joint spatial-spectral unmixing of hyperspectral images. CoRR abs/1907.08511 (2019) - 2018
- [j23]Tatsumi Uezato, Mathieu Fauvel, Nicolas Dobigeon:
Hyperspectral Image Unmixing With LiDAR Data-Aided Spatial Regularization. IEEE Trans. Geosci. Remote. Sens. 56(7): 4098-4108 (2018) - [c32]Adrien Lagrange, Mathieu Fauvel, Stéphane May, Nicolas Dobigeon:
A Bayesian Model for Joint Unmixing and Robust Classification of Hyperspectral Images. ICASSP 2018: 3399-3403 - [c31]Tatsumi Uezato, Mathieu Fauvel, Nicolas Dobigeon:
Lidar-Driven Spatial Regularization for Hyperspectral Unmixing. IGARSS 2018: 1740-1743 - [c30]Tatsumi Uezato, Mathieu Fauvel, Nicolas Dobigeon:
A multiple endmember mixing model to handle spectral variability in hyperspectral unmixing. WHISPERS 2018: 1-5 - [d1]Tatsumi Uezato, Mathieu Fauvel, Nicolas Dobigeon:
Data Set: Hyperspectral image unmixing with LiDAR data-aided spatial regularization. Zenodo, 2018
- 2017
- [j22]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): 688 (2017) - [j21]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): 993 (2017) - [j20]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): 230-242 (2017) - [c29]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: 1-4 - [c28]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: 1-4 - [i3]Adrien Lagrange, Mathieu Fauvel, Stéphane May, Nicolas Dobigeon:
Hierarchical Bayesian image analysis: from low-level modeling to robust supervised learning. CoRR abs/1712.00368 (2017) - 2016
- [j19]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): 734 (2016) - [j18]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): 3356-3358 (2016) - [c27]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: 3342-3345 - 2015
- [j17]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): 953-957 (2015) - [j16]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): 2423-2427 (2015) - [j15]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): 35-51 (2015) - [j14]Charles Bouveyron, Mathieu Fauvel, Stéphane Girard:
Kernel discriminant analysis and clustering with parsimonious Gaussian process models. Stat. Comput. 25(6): 1143-1162 (2015) - [j13]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): 1872-1875 (2015) - [j12]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): 2824-2831 (2015) - [c26]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: 1-4 - [i2]Mathieu Fauvel, Clément Dechesne, Anthony Zullo, Frédéric Ferraty:
Fast forward feature selection for the nonlinear classification of hyperspectral images. CoRR abs/1501.00857 (2015) - 2014
- [j11]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): 342-346 (2014) - [c25]Mathieu Fauvel, Charles Bouveyron, Stéphane Girard:
Parsimonious Gaussian process models for the classification of multivariate remote sensing images. ICASSP 2014: 2913-2916 - [c24]Anthony Zullo, Mathieu Fauvel, Frédéric Ferraty, Michel Goulard, Philippe Vieu:
Non-parametric functional methods for hyperspectral image classification. IGARSS 2014: 3422-3425 - [c23]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: 4910-4913 - [c22]Mathieu Fauvel, Anthony Zullo, Frédéric Ferraty:
Nonlinear parsimonious feature selection for the classification of hyperspectral images. WHISPERS 2014: 1-4 - 2013
- [j10]Mathieu Fauvel, Yuliya Tarabalka, Jón Atli Benediktsson, Jocelyn Chanussot, James C. Tilton:
Advances in Spectral-Spatial Classification of Hyperspectral Images. Proc. IEEE 101(3): 652-675 (2013) - [j9]Mathieu Fauvel, Jocelyn Chanussot, Jón Atli Benediktsson, Alberto Villa:
Parsimonious Mahalanobis kernel for the classification of high dimensional data. Pattern Recognit. 46(3): 845-854 (2013) - [j8]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): 15-26 (2013) - [c21]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: 95-112 - [c20]Pedram Ghamisi, Micael S. Couceiro, Mathieu Fauvel, Jón Atli Benediktsson:
Spectral-spatial classification based on integrated segmentation. IGARSS 2013: 1458-1461 - 2012
- [j7]Mathieu Fauvel, Jocelyn Chanussot, Jón Atli Benediktsson:
A spatial-spectral kernel-based approach for the classification of remote-sensing images. Pattern Recognit. 45(1): 381-392 (2012) - [j6]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): 539-563 (2012) - [c19]Mathieu Fauvel, David Sheeren, Jocelyn Chanussot, Jón Atli Benediktsson:
Hedges detection using local directional features and support vector data description. IGARSS 2012: 2320-2323 - [c18]Mathieu Fauvel:
Kernel matrix approximation for learning the kernel hyperparameters. IGARSS 2012: 5418-5421 - [i1]Mathieu Fauvel, Alberto Villa, Jocelyn Chanussot, Jón Atli Benediktsson:
Parsimonious Mahalanobis Kernel for the Classification of High Dimensional Data. CoRR abs/1206.4481 (2012) - 2011
- [c17]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: 3672-3675 - [c16]Mathieu Fauvel, Alberto Villa, Jocelyn Chanussot, Jón Atli Benediktsson:
Mahalanobis kernel based on probabilistic principal component. IGARSS 2011: 3907-3910 - 2010
- [j5]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): 736-740 (2010) - [c15]Mathieu Fauvel, Alberto Villa, Jocelyn Chanussot, Jón Atli Benediktsson:
Mahalanobis kernel for the classification of hyperspectral images. IGARSS 2010: 3724-3727
2000 – 2009
- 2009
- [j4]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) - [c14]Caroline Bernard-Michel, Sylvain Douté, Mathieu Fauvel, Laurent Gardes, Stéphane Girard:
Support vectors machines regression for estimation of mars surface physical properties. ESANN 2009 - [c13]Mathieu Fauvel, Jocelyn Chanussot, Jón Atli Benediktsson:
Kernel Principal Component Analysis for the Construction of the Extended Morphological Profile. IGARSS (2) 2009: 843-846 - [c12]Caroline Bernard-Michel, Sylvain Douté, Mathieu Fauvel, Laurent Gardes, Stéphane Girard:
Machine learning techniques for the inversion of planetary hyperspectral images. WHISPERS 2009: 1-4 - 2008
- [j3]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): 3804-3814 (2008) - [c11]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: 1884-1887 - [c10]Jón Atli Benediktsson, Xavier Ceamanos, Björn Waske, Jocelyn Chanussot, Johannes R. Sveinsson, Mathieu Fauvel:
Ensemble Methods for Classification of Hyperspectral Data. IGARSS (1) 2008: 62-65 - [c9]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: 224-227 - [c8]Yuliya Tarabalka, Jocelyn Chanussot, Jón Atli Benediktsson, Jesús Angulo, Mathieu Fauvel:
Segmentation and Classification of Hyperspectral Data using Watershed. IGARSS (3) 2008: 652-655 - 2007
- [b1]Mathieu Fauvel:
Spectral and Spatial Methods for the Classification of Urban Remote Sensing Data. Grenoble Institute of Technology, France, 2007 - [c7]Mathieu Fauvel, Jocelyn Chanussot, Jón Atli Benediktsson:
A joint spatial and spectral SVM's classification of panchromatic images. IGARSS 2007: 1497-1500 - [c6]Mathieu Fauvel, Jocelyn Chanussot, Jón Atli Benediktsson, Johannes R. Sveinsson:
Spectral and spatial classification of hyperspectral data using SVMs and morphological profiles. IGARSS 2007: 4834-4837 - [c5]Jón Atli Benediktsson, Jocelyn Chanussot, Mathieu Fauvel:
Multiple Classifier Systems in Remote Sensing: From Basics to Recent Developments. MCS 2007: 501-512 - 2006
- [j2]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): 40-44 (2006) - [j1]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): 2828-2838 (2006) - [c4]Mathieu Fauvel, Jocelyn Chanussot, Jón Atli Benediktsson:
Evaluation of Kernels for Multiclass Classification of Hyperspectral Remote Sensing Data. ICASSP (2) 2006: 813-816 - [c3]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: 1974-1978 - [c2]Mathieu Fauvel, Jocelyn Chanussot, Jón Atli Benediktsson:
A Combined Support Vector Machines Classification Based on Decision Fusion. IGARSS 2006: 2494-2497 - 2005
- [c1]Mathieu Fauvel, Jocelyn Chanussot, Jón Atli Benediktsson:
Fusion of methods for the classification of remote sensing images from urban areas. IGARSS 2005: 2819-2822
Coauthor Index
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