M. Fauvel

发表

Spectral and Spatial Methods for the Classification of Urban Remote Sensing Data

Mathieu Fauvel, M. Fauvel, 2007 .

Evaluation of Kernels for Multiclass Classification of Hyperspectral Remote Sensing Data

Jon Atli Benediktsson, Jocelyn Chanussot, Mathieu Fauvel, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Decision Fusion for Hyperspectral Classification

Jon Atli Benediktsson, Jocelyn Chanussot, Mathieu Fauvel, 2006 .

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

Stéphane Girard, Mathieu Fauvel, Annie Ouin, 2017, Remote. Sens..

Assessing the Influence of Landscape on Biodiversity Using the QGIS Plugin LecoS

M. Fauvel, D. Sheeren, S. Ladet, 2018 .

Machine Learning Methods for the Inversion of Hyperspectral Images

S. Girard, S. Douté, M. Fauvel, 2017 .

Machine learning techniques for the inversion of planetary hyperspectral images

Sylvain Douté, Mathieu Fauvel, Laurent Gardes, 2009, 2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing.

Chapter 12 Decision Fusion for Hyperspectral Classification

J. Benediktsson, J. Chanussot, M. Fauvel, 2006 .

Spectral-spatial classification based on integrated segmentation

Jon Atli Benediktsson, Micael S. Couceiro, Pedram Ghamisi, 2013, 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS.

OPTIMAL DATES FOR DECIDUOUS TREE SPECIES MAPPING USING FULL YEARS SENTINEL-2 TIME SERIES IN SOUTH WEST FRANCE

J. Dejoux, M. Fauvel, D. Sheeren, 2020 .

A Combined Support Vector Machines Classification Based on Decision Fusion

Jon Atli Benediktsson, Jocelyn Chanussot, Mathieu Fauvel, 2006, 2006 IEEE International Symposium on Geoscience and Remote Sensing.

Classification en imagerie hyperspectrale haute resolution: u tilisation conjointe de l'information spatiale et spectrale

J. Benediktsson, J. Chanussot, M. Fauvel, 2007 .

OMEGA hyperspectral images using Regularized 2 Sliced Inverse Regression

S. Girard, S. Douté, M. Fauvel, 2008 .

Farming intensity indirectly reduces crop yield through negative effects on agrobiodiversity and key ecological functions

M. Fauvel, A. Ouin, E. Andrieu, 2022, Agriculture, Ecosystems & Environment.

Detection of individual trees in urban alignment from airborne data and contextual information: A marked point process approach

M. Fauvel, D. Sheeren, S. Fabre, 2018, ISPRS Journal of Photogrammetry and Remote Sensing.

An Investigation of Image Segmentation Method for Remotely Sensed Hyperspectral Images with Region Object Aggregations

J. Benediktsson, J. Chanussot, M. Fauvel, 2016 .

Discrimination périodique à partir d’observations multi-temporelles

Rémi Flamary, M. Fauvel, Mauro Dalla Mura, 2015 .

Mixture of multivariate Gaussian processes for classification of irregularly sampled satellite image time-series

S. Girard, M. Fauvel, Alexandre Constantin, 2022, Statistics and Computing.

Tree Species Classiﬁcation in Temperate Forests Using Formosat-2 Satellite Image Time Series

J. Dejoux, M. Fauvel, Maïlys Lopes, 2016 .

Mixture of multivariate Gaussian processes for classification of irregularly sampled satellite image time-series

S. Girard, M. Fauvel, Alexandre Constantin, 2022, Statistics and Computing.

Kernel discriminant analysis and clustering with parsimonious Gaussian process models

C. Bouveyron, S. Girard, M. Fauvel, 2014, Statistics and Computing.

Prediction of plant diversity in grasslands using Sentinel-1 and -2 satellite image time series

Mathieu Fauvel, Pierre-Louis Frison, Annie Ouin, 2020 .

Experimental comparison of functional and multivariate spectral-based supervised classification methods in hyperspectral image

Mathieu Fauvel, Anthony Zullo, Frédéric Ferraty, 2018 .

Integration of Segmentation Techniques for Classification of Hyperspectral Images

Jon Atli Benediktsson, Micael S. Couceiro, Pedram Ghamisi, 2014, IEEE Geoscience and Remote Sensing Letters.

Advances in Spectral-Spatial Classification of Hyperspectral Images

Jon Atli Benediktsson, Jocelyn Chanussot, Mathieu Fauvel, 2013, Proceedings of the IEEE.

A spatial-spectral kernel-based approach for the classification of remote-sensing images

Jon Atli Benediktsson, Jocelyn Chanussot, Mathieu Fauvel, 2012, Pattern Recognit..

SVM- and MRF-Based Method for Accurate Classification of Hyperspectral Images

Jon Atli Benediktsson, Jocelyn Chanussot, Mathieu Fauvel, 2010, IEEE Geoscience and Remote Sensing Letters.

Recent Advances in Techniques for Hyperspectral Image Processing

Jon Atli Benediktsson, Lorenzo Bruzzone, Jocelyn Chanussot, 2009 .

Segmentation and Classification of Hyperspectral Data using Watershed

Jon Atli Benediktsson, Jocelyn Chanussot, Jesús Angulo, 2008, IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium.

Spectral and spatial classification of hyperspectral data using SVMs and morphological profiles

Johannes R. Sveinsson, Jon Atli Benediktsson, Jocelyn Chanussot, 2008, 2007 IEEE International Geoscience and Remote Sensing Symposium.

Mapping tree species of forests in southwest France using Sentinel-2 image time series

Mathieu Fauvel, David Sheeren, Jérôme Willm, 2017, 2017 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp).

Building a shared vision of the future for multifunctional agricultural landscapes. Lessons from a long term socio-ecological research site in south-western France

J. Dejoux, E. Ceschia, M. Fauvel, 2022, Advances in Ecological Research.

A classifier ensemble based on fusion of support vector machines for classifying hyperspectral data

Johannes R. Sveinsson, Jon Atli Benediktsson, Jocelyn Chanussot, 2010 .

Analysis of Multitemporal Classification Techniques for Forecasting Image Time Series

Mathieu Fauvel, Rémi Flamary, Mauro Dalla Mura, 2015, IEEE Geoscience and Remote Sensing Letters.

Statistical Stability and Spatial Instability in Mapping Forest Tree Species by Comparing 9 Years of Satellite Image Time Series

Mathieu Fauvel, David Sheeren, Jérôme Willm, 2019, Remote. Sens..

Land Cover Classification With Gaussian Processes Using Spatio-Spectro-Temporal Features

M. Fauvel, J. Inglada, Valentine Bellet, 2023, IEEE Transactions on Geoscience and Remote Sensing.

Tree Species Classification in Temperate Forests Using Formosat-2 Satellite Image Time Series

Mathieu Fauvel, David Sheeren, Carole Planque, 2016, Remote. Sens..

Kernel Principal Component Analysis for Feature Reduction in Hyperspectrale Images Analysis

J.A. Benediktsson, J. Chanussot, M. Fauvel, 2006, Proceedings of the 7th Nordic Signal Processing Symposium - NORSIG 2006.

How Transferable Are Spatial Features for the Classification of Very High Resolution Remote Sensing Data?

J.A. Benediktsson, J. Chanussot, M. Fauvel, 2007, 2007 Urban Remote Sensing Joint Event.

Parsimonious Mahalanobis kernel for the classification of high dimensional data

Jon Atli Benediktsson, Jocelyn Chanussot, Alberto Villa, 2012, Pattern Recognit..

Mahalanobis kernel for the classification of hyperspectral images

Jon Atli Benediktsson, Jocelyn Chanussot, Alberto Villa, 2010, 2010 IEEE International Geoscience and Remote Sensing Symposium.

Kernel Principal Component Analysis for the Classification of Hyperspectral Remote Sensing Data over Urban Areas

Jon Atli Benediktsson, Jocelyn Chanussot, Mathieu Fauvel, 2009, EURASIP J. Adv. Signal Process..

Spectral-spatial analysis in hyperspectral remote sensing: from morphological profiles to classified segmentation

Jon Atli Benediktsson, Jocelyn Chanussot, Mathieu Fauvel, 2009, Remote Sensing.

Gradient Optimization for multiple kernel's parameters in support vector machines classification

Jon Atli Benediktsson, Jocelyn Chanussot, Paolo Gamba, 2008, IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium.

A comparative study of geometric transformation models for the historical "map of france" registration

Martin Paegelow, Mathieu Fauvel, Pierre-Alexis Herrault, 2013 .

Advanced processing of hyperspectral images

Jon Atli Benediktsson, Antonio J. Plaza, Lorenzo Bruzzone, 2006, 2006 IEEE International Symposium on Geoscience and Remote Sensing.

Hyperspectral Image Unmixing With LiDAR Data-Aided Spatial Regularization

Nicolas Dobigeon, Mathieu Fauvel, Tatsumi Uezato, 2017, IEEE Transactions on Geoscience and Remote Sensing.

Matrix Cofactorization for Joint Spatial–Spectral Unmixing of Hyperspectral Images

Nicolas Dobigeon, Mathieu Fauvel, Adrien Lagrange, 2019, IEEE Transactions on Geoscience and Remote Sensing.

Tree species discrimination in temperate woodland using high spatial resolution Formosat-2 time series

Mathieu Fauvel, David Sheeren, Carole Planque, 2015, 2015 8th International Workshop on the Analysis of Multitemporal Remote Sensing Images (Multi-Temp).

Machine Learning Techniques in Remote Sensing Data Analysis

Jon Atli Benediktsson, Jocelyn Chanussot, Björn Waske, 2009 .

Hierarchical Bayesian image analysis: from low-level modeling to robust supervised learning pdf

Stéphane May, Nicolas Dobigeon, Mathieu Fauvel, 2017, Pattern Recognit..

Ensemble Methods for Classification of Hyperspectral Data

Johannes R. Sveinsson, Jon Atli Benediktsson, Jocelyn Chanussot, 2008, IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium.

Object-Based Classification of Grasslands from High Resolution Satellite Image Time Series Using Gaussian Mean Map Kernels

Stéphane Girard, Mathieu Fauvel, David Sheeren, 2017, Remote. Sens..

Object-based fusion for urban tree species classification from hyperspectral, panchromatic and nDSM data

Xavier Briottet, Mathieu Fauvel, Emmanuel Zenou, 2019, International Journal of Remote Sensing.

Parsimonious Gaussian process models for the classification of multivariate remote sensing images

Charles Bouveyron, Stéphane Girard, Mathieu Fauvel, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Decision Fusion for the Classification of Urban Remote Sensing Images

Jon Atli Benediktsson, Jocelyn Chanussot, Mathieu Fauvel, 2006, IEEE Transactions on Geoscience and Remote Sensing.

Fast Forward Feature Selection of Hyperspectral Images for Classification With Gaussian Mixture Models

Mathieu Fauvel, Anthony Zullo, Frédéric Ferraty, 2015, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Automatic Extraction of Forests from Historical Maps Based on Unsupervised Classification in the CIELab Color Space

Martin Paegelow, Mathieu Fauvel, Pierre-Alexis Herrault, 2013, AGILE Conf..

Joint Supervised Classification and Reconstruction of Irregularly Sampled Satellite Image Times Series

Mathieu Fauvel, Stéphane Girard, Alexandre Constantin, 2022, IEEE Transactions on Geoscience and Remote Sensing.

Kernel matrix approximation for learning the kernel hyperparameters

Mathieu Fauvel, M. Fauvel, 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

Spectral and Spatial Classification of Hyperspectral Data Using SVMs and Morphological Profiles

Johannes R. Sveinsson, Jon Atli Benediktsson, Jocelyn Chanussot, 2007, IEEE Transactions on Geoscience and Remote Sensing.

Foreword to the Special Issue on Information Extraction From High-Spatial-Resolution Optical Remotely Sensed Imagery

Xin Huang, Mathieu Fauvel, Mauro Dalla Mura, 2015, IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens..

Multiple Classifier Systems in Remote Sensing: From Basics to Recent Developments

Jon Atli Benediktsson, Jocelyn Chanussot, Mathieu Fauvel, 2007, MCS.

High dimensional Kullback-Leibler divergence for grassland management practices classification from high resolution satellite image time series

Stéphane Girard, Mathieu Fauvel, David Sheeren, 2016, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Classification of remote sensing images from urban areas using a fuzzy possibilistic model

Jon Atli Benediktsson, Jocelyn Chanussot, Mathieu Fauvel, 2006, IEEE Geoscience and Remote Sensing Letters.

Lidar-Driven Spatial Regularization for Hyperspectral Unmixing

Nicolas Dobigeon, Mathieu Fauvel, Tatsumi Uezato, 2018, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.

Kernel discriminant analysis and clustering with parsimonious Gaussian process models

Charles Bouveyron, Stéphane Girard, Mathieu Fauvel, 2012, Statistics and Computing.

Fast estimation for robust supervised classification with mixture models

Mathieu Fauvel, Clément Mallet, Erwan Giry-Fouquet, 2021, Pattern Recognit. Lett..

Mahalanobis kernel based on probabilistic principal component

Jon Atli Benediktsson, Jocelyn Chanussot, Alberto Villa, 2011, 2011 IEEE International Geoscience and Remote Sensing Symposium.

Kernel principal component analysis for the construction of the extended morphological profile

Jon Atli Benediktsson, Jocelyn Chanussot, Mathieu Fauvel, 2009, 2009 IEEE International Geoscience and Remote Sensing Symposium.

Hierarchical Sparse Nonnegative Matrix Factorization for Hyperspectral Unmixing with Spectral Variability

Nicolas Dobigeon, Mathieu Fauvel, Tatsumi Uezato, 2020, Remote. Sens..

A multiple endmember mixing model to handle spectral variability in hyperspectral unmixing

Nicolas Dobigeon, Mathieu Fauvel, Tatsumi Uezato, 2018, 2018 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

Hyperspectral Unmixing With Spectral Variability Using Adaptive Bundles and Double Sparsity

Nicolas Dobigeon, Mathieu Fauvel, Tatsumi Uezato, 2018, IEEE Transactions on Geoscience and Remote Sensing.

Matrix Cofactorization for Joint Representation Learning and Supervised Classification - Application to Hyperspectral Image Analysis

José M. Bioucas-Dias, Nicolas Dobigeon, Mathieu Fauvel, 2019, Neurocomputing.

Parsimonious Gaussian Process Models for the Classification of Hyperspectral Remote Sensing Images

Charles Bouveyron, Stéphane Girard, Mathieu Fauvel, 2015, IEEE Geoscience and Remote Sensing Letters.

Retrieval of Mars surface physical properties from OMEGA hyperspectral images using regularized sliced inverse regression

Mathieu Fauvel, Laurent Gardes, Stéphane Girard, 2009 .

Large-Scale Feature Selection With Gaussian Mixture Models for the Classification of High Dimensional Remote Sensing Images

Mathieu Fauvel, Manuel Grizonnet, Adrien Lagrange, 2017, IEEE Transactions on Computational Imaging.

High Dimensional Kullback-Leibler Divergence for grassland object-oriented classification from high resolution satellite image time series

S. Girard, M. Fauvel, Maïlys Lopes, 2016 .

Spectral and Spatial Classification of Hyperspectral Data Using SVMs and Morphological Profiles

J. R. Sveinsson, J. Benediktsson, J. Chanussot, 2008, IEEE Transactions on Geoscience and Remote Sensing.

Fusion of methods for the classification of remote sensing images from urban areas

Jon Atli Benediktsson, Jocelyn Chanussot, Mathieu Fauvel, 2005, Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05..