Mathieu Fauvel

Orcid: 0000-0002-3304-6932

According to our database1, Mathieu Fauvel authored at least 71 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
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., 2024

2023
Land Cover Classification With Gaussian Processes Using Spatio-Spectro-Temporal Features.
IEEE Trans. Geosci. Remote. Sens., 2023

Monitoring Ecosystems with Remote Sensing.
, 2023

2022
Joint Supervised Classification and Reconstruction of Irregularly Sampled Satellite Image Times Series.
IEEE Trans. Geosci. Remote. Sens., 2022

Mixture of multivariate Gaussian processes for classification of irregularly sampled satellite image time-series.
Stat. Comput., 2022

2021
Fast estimation for robust supervised classification with mixture models.
Pattern Recognit. Lett., 2021

2020
Matrix Cofactorization for Joint Spatial-Spectral Unmixing of Hyperspectral Images.
IEEE Trans. Geosci. Remote. Sens., 2020

Hierarchical Sparse Nonnegative Matrix Factorization for Hyperspectral Unmixing with Spectral Variability.
Remote. Sens., 2020

Matrix cofactorization for joint representation learning and supervised classification - Application to hyperspectral image analysis.
Neurocomputing, 2020

2019
Hyperspectral Unmixing With Spectral Variability Using Adaptive Bundles and Double Sparsity.
IEEE Trans. Geosci. Remote. Sens., 2019

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., 2019

Statistical Stability and Spatial Instability in Mapping Forest Tree Species by Comparing 9 Years of Satellite Image Time Series.
Remote. Sens., 2019

Hierarchical Bayesian image analysis: From low-level modeling to robust supervised learning.
Pattern Recognit., 2019

Identification of the London plane in urban alignment based on hyperspectral data and contextual information.
Proceedings of the Joint Urban Remote Sensing Event, 2019

Matrix Cofactorization for Joint Unmixing and Classification of Hyperspectral Images.
Proceedings of the 27th European Signal Processing Conference, 2019

2018
Hyperspectral Image Unmixing With LiDAR Data-Aided Spatial Regularization.
IEEE Trans. Geosci. Remote. Sens., 2018

A multiple endmember mixing model to handle spectral variability in hyperspectral unmixing.
Proceedings of the 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2018

Lidar-Driven Spatial Regularization for Hyperspectral Unmixing.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

A Bayesian Model for Joint Unmixing and Robust Classification of Hyperspectral Images.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Large-Scale Feature Selection With Gaussian Mixture Models for the Classification of High Dimensional Remote Sensing Images.
IEEE Trans. Computational Imaging, 2017

Spectro-Temporal Heterogeneity Measures from Dense High Spatial Resolution Satellite Image Time Series: Application to Grassland Species Diversity Estimation.
Remote. Sens., 2017

Object-Based Classification of Grasslands from High Resolution Satellite Image Time Series Using Gaussian Mean Map Kernels.
Remote. Sens., 2017

Potential of Sentinel-2 and SPOT5 (Take5) time series for the estimation of grasslands biodiversity indices.
Proceedings of the 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images, 2017

Mapping tree species of forests in southwest France using Sentinel-2 image time series.
Proceedings of the 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images, 2017

2016
Foreword to the Special Issue on Analysis of Multitemporal Data and Applications.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

Tree Species Classification in Temperate Forests Using Formosat-2 Satellite Image Time Series.
Remote. Sens., 2016

High dimensional Kullback-Leibler divergence for grassland management practices classification from high resolution satellite image time series.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2015
Fast Forward Feature Selection of Hyperspectral Images for Classification With Gaussian Mixture Models.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015

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., 2015

Kernel discriminant analysis and clustering with parsimonious Gaussian process models.
Stat. Comput., 2015

Vectorisation automatique des forêts dans les minutes de la carte d'état-major du 19e siècle.
Rev. Int. Géomatique, 2015

Analysis of Multitemporal Classification Techniques for Forecasting Image Time Series.
IEEE Geosci. Remote. Sens. Lett., 2015

Parsimonious Gaussian Process Models for the Classification of Hyperspectral Remote Sensing Images.
IEEE Geosci. Remote. Sens. Lett., 2015

Fast forward feature selection for the nonlinear classification of hyperspectral images.
CoRR, 2015

Tree species discrimination in temperate woodland using high spatial resolution Formosat-2 time series.
Proceedings of the 8th International Workshop on the Analysis of Multitemporal Remote Sensing Images, 2015

2014
Integration of Segmentation Techniques for Classification of Hyperspectral Images.
IEEE Geosci. Remote. Sens. Lett., 2014

Nonlinear parsimonious feature selection for the classification of hyperspectral images.
Proceedings of the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2014

Non-parametric functional methods for hyperspectral image classification.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

Robust path opening versus path opening for the detection of hedgerows in rural landscapes.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

Parsimonious Gaussian process models for the classification of multivariate remote sensing images.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
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., 2013

Parsimonious Mahalanobis kernel for the classification of high dimensional data.
Pattern Recognit., 2013

Advances in Spectral-Spatial Classification of Hyperspectral Images.
Proc. IEEE, 2013

Spectral-spatial classification based on integrated segmentation.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

Automatic Extraction of Forests from Historical Maps Based on Unsupervised Classification in the CIELab Color Space.
Proceedings of the Geographic Information Science at the Heart of Europe, 2013

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.
Rev. Int. Géomatique, 2012

A spatial-spectral kernel-based approach for the classification of remote-sensing images.
Pattern Recognit., 2012

Hedges detection using local directional features and support vector data description.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

Kernel matrix approximation for learning the kernel hyperparameters.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

2011
Mapping ash tree colonization in an agricultural mountain landscape: Investigating the potential of hyperspectral imagery.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

Mahalanobis kernel based on probabilistic principal component.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

2010
SVM- and MRF-Based Method for Accurate Classification of Hyperspectral Images.
IEEE Geosci. Remote. Sens. Lett., 2010

Mahalanobis kernel for the classification of hyperspectral images.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

2009
Kernel Principal Component Analysis for the Classification of Hyperspectral Remote Sensing Data over Urban Areas.
EURASIP J. Adv. Signal Process., 2009

Machine learning techniques for the inversion of planetary hyperspectral images.
Proceedings of the First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2009

Kernel Principal Component Analysis for the Construction of the Extended Morphological Profile.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009

Support vectors machines regression for estimation of mars surface physical properties.
Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009

2008
Spectral and Spatial Classification of Hyperspectral Data Using SVMs and Morphological Profiles.
IEEE Trans. Geosci. Remote. Sens., 2008

Gradient Optimization for multiple kernel's parameters in support vector machines classification.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

Segmentation and Classification of Hyperspectral Data using Watershed.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

Ensemble Methods for Classification of Hyperspectral Data.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

Adaptive pixel neighborhood definition for the classification of hyperspectral images with support vector machines and composite kernel.
Proceedings of the International Conference on Image Processing, 2008

2007
Spectral and Spatial Methods for the Classification of Urban Remote Sensing Data.
PhD thesis, 2007

Multiple Classifier Systems in Remote Sensing: From Basics to Recent Developments.
Proceedings of the Multiple Classifier Systems, 7th International Workshop, 2007

A joint spatial and spectral SVM's classification of panchromatic images.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007

2006
Decision Fusion for the Classification of Urban Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2006

Classification of remote sensing images from urban areas using a fuzzy possibilistic model.
IEEE Geosci. Remote. Sens. Lett., 2006

Advanced Processing of Hyperspectral Images.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2006

A Combined Support Vector Machines Classification Based on Decision Fusion.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2006

Evaluation of Kernels for Multiclass Classification of Hyperspectral Remote Sensing Data.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2005
Fusion of methods for the classification of remote sensing images from urban areas.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2005


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