Publications

Google Scholar Information

Journal Papers

[1]
Adrien Lagrange, Mathieu Fauvel, and Manuel Grizonnet. Large-scale feature selection with gaussian mixture models for the classification of high dimensional remote sensing images. IEEE Transactions on Computational Imaging, 3(2):230—242, 2017.
[2]
Frédéric Ferraty, Anthony Zullo, and Mathieu Fauvel. Nonparametric regression on contaminated functional predictor with application to hyperspectral data. Econometrics and Statistics, 2017.
[3]
Mailys Lopes, Mathieu Fauvel, Stéphane Girard, and David Sheeren. Object-based classification of grasslands from high resolution satellite image time series using gaussian mean map kernels. Remote Sensing, 9(7), 2017. [ DOI | http ]
[4]
M Fauvel. Introduction to kernel methods: Classification of multivariate data. EAS Publications Series, 77:171—193, 2016.
[5]
David Sheeren, Mathieu Fauvel, Veliborka Josipović, Maïlys Lopes, Carole Planque, Jérôme Willm, and Jean-François Dejoux. Tree species classification in temperate forests using formosat-2 satellite image time series. Remote Sensing, 8(9):734, 2016.
[6]
M. Fauvel, C. Bouveyron, and S. Girard. Parsimonious gaussian process models for the classification of hyperspectral remote sensing images. Geoscience and Remote Sensing Letters, IEEE, 12(12):2423—2427, 2015. [ .pdf ]
[7]
M. Fauvel, C. Dechesne, A. Zullo, and F. Ferraty. Fast forward feature selection of hyperspectral images for classification with gaussian mixture models. Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of, 8(6):2824—2831, 2015. [ .pdf ]
[8]
Rémi Flamary, Mathieu Fauvel, Mauro Dalla Mura, and Silvia Valero. Analysis of multitemporal classification techniques for forecasting image time series. Geoscience and Remote Sensing Letters, IEEE, 12(5):953—957, 2015.
[9]
Xin Huang, Mathieu Fauvel, Mauro Dalla Mura, and Liangpei Zhang. Foreword to the special issue on information extraction from high-spatial-resolution optical remotely sensed imagery. Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of, 8(5):1872—1875, 2015.
[10]
Mathieu Fauvel. Remote sensing imagery [book review]. Geoscience and Remote Sensing Magazine, IEEE, 3(2):64—65, 2015.
[11]
Pierre-Alexis Herrault, David Sheeren, Mathieu Fauvel, and Martin Paegelow. Vectorisation automatique des forêts dans les minutes de la carte d’état-major du 19 e siècle. Revue internationale de géomatique, 25(1):35—51, 2015.
[12]
Charles Bouveyron, Mathieu Fauvel, and Stephane Girard. Kernel discriminant analysis and clustering with parsimonious gaussian process models. Statistics and Computing, pages 1—20, 2014.
[13]
Pedram Ghamisi, Micael S Couceiro, Mathieu Fauvel, and Jon Atli Benediktsson. Integration of segmentation techniques for classification of hyperspectral images. IEEE Geosci. Remote Sensing Lett., 11(1):342—346, 2014.
[14]
Mathieu Fauvel, Carole Planque, David Sheeren, and Mauro Dalla Mura. Télédétection des éléments semi-naturels: utilisation des données pléiades pour la détection des haies. Revue française de photogrammétrie et de télédétection, (208):111—116, 2014.
[15]
M Fauvel, M Dalla Mura, and E Trouve. Introduction of the IEEE french section geoscience and remote sensing society chapter [chapters]. Geoscience and Remote Sensing Magazine, IEEE, 2(4):59—61, 2014.
[16]
Mathieu Fauvel, Jocelyn Chanussot, Jon Atli Benediktsson, and Alberto Villa. Parsimonious mahalanobis kernel for the classification of high dimensional data. Pattern Recognition, 46(3):845—854, 2013.
[17]
Mathieu Fauvel, Yuliya Tarabalka, Jon Atli Benediktsson, Jocelyn Chanussot, and James C Tilton. Advances in spectral-spatial classification of hyperspectral images. Proceedings of the IEEE, 101(3):652—675, 2013.
[18]
Mathieu Fauvel, Benoit Arbelot, Jon Atli Benediktsson, David Sheeren, and Jocelyn Chanussot. Detection of hedges in a rural landscape using a local orientation feature: from linear opening to path opening. Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of, 6(1):15—26, 2013.
[19]
Pierre-Alexis Herrault, David Sheeren, Mathieu Fauvel, Claude Monteil, and Martin Paegelow. A comparative study of geometric transformation models for the historical ‘map of france’registration. Geographia Technica, 8(1):34—46, 2013.
[20]
Mathieu Fauvel, Jocelyn Chanussot, and Jon Atli Benediktsson. A spatial—spectral kernel-based approach for the classification of remote-sensing images. Pattern Recognition, 45(1):381—392, 2012.
[21]
Yuliya Tarabalka, Mathieu Fauvel, Jocelyn Chanussot, and Jón Atli Benediktsson. SVM-and MRF-based method for accurate classification of hyperspectral images. Geoscience and Remote Sensing Letters, IEEE, 7(4):736—740, 2010.
[22]
Xavier Ceamanos, Björn Waske, Jon Atli Benediktsson, Jocelyn Chanussot, Mathieu Fauvel, and Johannes R Sveinsson. A classifier ensemble based on fusion of support vector machines for classifying hyperspectral data. International Journal of Image and Data Fusion, 1(4):293—307, 2010.
[23]
Antonio Plaza, Jon Atli Benediktsson, Joseph W Boardman, Jason Brazile, Lorenzo Bruzzone, Gustavo Camps-Valls, Jocelyn Chanussot, Mathieu Fauvel, Paolo Gamba, Anthony Gualtieri, et al. Recent advances in techniques for hyperspectral image processing. Remote sensing of environment, 113:S110—S122, 2009.
[24]
Mathieu Fauvel, Jocelyn Chanussot, and Jon Atli Benediktsson. Kernel principal component analysis for the classification of hyperspectral remote sensing data over urban areas. EURASIP Journal on Advances in Signal Processing, 2009:11, 2009.
[25]
Caroline Bernard-Michel, Sylvain Douté, Mathieu Fauvel, Laurent Gardes, and Stephane Girard. Retrieval of mars surface physical properties from omega hyperspectral images using regularized sliced inverse regression. Journal of Geophysical Research: Planets (1991—2012), 114(E6), 2009.
[26]
Mathieu Fauvel, Jón Atli Benediktsson, Jocelyn Chanussot, and Johannes R Sveinsson. Spectral and spatial classification of hyperspectral data using SVMs and morphological profiles. Geoscience and Remote Sensing, IEEE Transactions on, 46(11):3804—3814, 2008.
[27]
Mathieu Fauvel, Jocelyn Chanussot, and Jón Atli Benediktsson. Decision fusion for the classification of urban remote sensing images. Geoscience and Remote Sensing, IEEE Transactions on, 44(10):2828—2838, 2006.
[28]
Jocelyn Chanussot, Jon Atli Benediktsson, and Mathieu Fauvel. Classification of remote sensing images from urban areas using a fuzzy possibilistic model. Geoscience and Remote Sensing Letters, IEEE, 3(1):40—44, 2006.

Book Chapters

[1]
Mathieu Fauvel, Stephane Girard, Sylvain Douté, and Laurent Gardes. In Horizons in World Physics, chapter Machine Learning Methods for the Inversion of Hyperspectral Images. Nova Science, 2017.
[2]
B. Waske, M. Fauvel, J. A. Benediktsson, and J. Chanussot. In Kernel methods for Remote Sensing Data Analysis, chapter Machine learning techniques in remote sensing data analysis. John Wiley and Sons, New York, 2009.
[3]
Mathieu Fauvel, Jocelyn Chanussot, and Jon Atli Benediktsson. In Hyperspectral Data Exploitation: Theory and Applications, chapter Decision fusion for hyperspectral classification. John Wiley and Sons, New York, 2007.

Conference Papers

[1]
Josselin Aval, Sophie Fabre, Emmanuel Zenou, David Sheeren, Mathieu Fauvel, and Xavier Briottet. Urban tree species classification with hyperspectral VNIR and SWIR sensors. In 10th EARSeL SIG Imaging Spectroscopy workshop, Zurich, 2017.
[2]
M. Fauvel, D. Sheeren, J.-F. Dejoux, and J. Willm. Multi-year comparison of tree species discrimination from Formosat-2 satellite image time series. In ForestSAT’2016 International Conference, Santiago, Chile, November 2016. (abstract & oral presentation).
[3]
Maïlys Lopes, Stéphane Girard, and Mathieu Fauvel. Divergence de Kullback-Leibler en grande dimension pour la classification des prairies à partir de séries temporelles d’images satellite à haute résolution. In 48èmes Journées de Statistique organisées par la Société Française de Statistique, Montpellier, France, May 2016. [ http | .pdf ]
[4]
Mailys Lopes, Mathieu Fauvel, Stéphane Girard, and David Sheeren. High dimensional kullback-leibler divergence for grassland management practices classification from high resolution satellite image time series. In Geoscience and Remote Sensing Symposium (IGARSS), 2016 IEEE International, pages 3342—3345. IEEE, 2016.
[5]
Mailys Lopes, Mathieu Fauvel, Stéphane Girard, David Sheeren, and Marc Lang. High dimensional kullback-leibler divergence for grassland object-oriented classification from high resolution satellite image time series. In Living Planet Symposium, 2016.
[6]
David Sheeren, Mathieu Fauvel, Carole Planque, Jérôme Willm, and Jean-Françoise Dejoux. Tree species discrimination in temperate woodland using high spatial resolution formosat-2 time series. In Analysis of Multitemporal Remote Sensing Images (Multi-Temp), 2015 8th International Workshop on the, pages 1—4. IEEE, 2015.
[7]
Mathieu Fauvel, Charles Bouveyron, and Stephane Girard. Parsimonious gaussian process models for the classification of multivariate remote sensing images. In Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on, pages 2913—2916. IEEE, 2014.
[8]
M Fauvel, C Planque, D Sheeren, Mauro Dalla Mura, F Cokelaer, J Chanussov, and H Talbot. Robust path opening versus path opening for the detection of hedgerows in rural landscapes. In Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International, pages 4910—4913. IEEE, 2014.
[9]
A Zullo, M Fauvel, F Ferraty, M Goulard, and P Vieu. Non-parametric functional methods for hyperspectral image classification. In Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International, pages 3422—3425. IEEE, 2014.
[10]
P-A Herrault, D Sheeren, M Fauvel, and M Paegelow. Automatic extraction of forests from historical maps based on unsupervised classification in the cielab color space. In Geographic Information Science at the Heart of Europe, pages 95—112. Springer International Publishing, 2013.
[11]
Mathieu Fauvel. Approximation de matrices pour l’apprentissage des hyperparamètres des fonctions noyaux gaussiennes. In 24. Colloque GRETSI sur le traitement du signal et des images. 2013-09-032013-09-06, Brest, FRA, 2013.
[12]
Pedram Ghamisi, Micael S Couceiro, Mathieu Fauvel, and Jon Atli Benediktsson. Spectral-spatial classification based on integrated segmentation. In Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International, pages 1458—1461. IEEE, 2013.
[13]
Charles Bouveyron, Mathieu Fauvel, and Stephane Girard. Processus gaussiens parcimonieux pour la classification générative de données hétérogènes. In 44èmes Journées de Statistique, 2012.
[14]
Mathieu Fauvel. Kernel matrix approximation for learning the kernel hyperparameters. In Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International, pages 5418—5421. IEEE, 2012.
[15]
Mathieu Fauvel, David Sheeren, Jocelyn Chanussot, and Jon Atli Benediktsson. Hedges detection using local directional features and support vector data description. In Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International, pages 2320—2323. IEEE, 2012.
[16]
Gabrielle Cavallaro, Benoit Arbelot, Mathieu Fauvel, Mauro Dalla Mura, Jón Atli Benediktsson, Lorenzo Bruzzone, Jocelyn Chanussot, and David Sheeren. Detection of hedges based on attribute filters. In SPIE Remote Sensing, pages 853712—853712. International Society for Optics and Photonics, 2012.
[17]
David Sheeren, Mathieu Fauvel, Sylvie Ladet, Anne Jacquin, Georges Bertoni, and Annick Gibon. Mapping ash tree colonization in an agricultural mountain landscape: Investigating the potential of hyperspectral imagery. In Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International, pages 3672—3675. IEEE, 2011.
[18]
Mathieu Fauvel, Alberto Villa, Jocelyn Chanussot, and Jon Atli Benediktsson. Mahalanobis kernel based on probabilistic principal component. In Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International, pages 3907—3910. IEEE, 2011.
[19]
Sylvie Ladet, David Sheeren, Mathieu Fauvel, Wilfried Heintz, and Marc Deconchat. Mission d’acquisition aérienne lidar pour des applications thématiques en écologie du paysage. le cas des coteaux de gascogne. In Ecole thématique du CNRS Images et modèles 3D en milieux naturels. 2011-06-142011-06-17, Le Bourget du Lac, FRA. Laboratoire EDYTEM-Environnements, Dynamiques et Territoires de la Montagne, 2011.
[20]
Mathieu Fauvel, Alberto Villa, Jocelyn Chanussot, and Jon Atli Benediktsson. Mahalanobis kernel for the classification of hyperspectral images. In Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International, pages 3724—3727. IEEE, 2010.
[21]
Yuliya Tarabalka, Jón Atli Benediktsson, Jocelyn Chanussot, J Angulo, and M Fauvel. Classification of hyperspectral data using support vector machines and adaptive neighborhoods. In Proc. 6th EARSeL SIG IS Workshop, 2009.
[22]
Caroline Bernard-Michel, Sylvain Douté, Mathieu Fauvel, Laurent Gardes, and Stephane Girard. Machine learning techniques for the inversion of planetary hyperspectral images. In Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2009. WHISPERS‘09. First Workshop on, pages 1—4. IEEE, 2009.
[23]
Caroline Bernard-Michel, Sylvain Douté, Mathieu Fauvel, Laurent Gardes, and Stephane Girard. Support vectors machines regression for estimation of mars surface physical properties. In ESANN 2009-17th European Symposium on Artificial Neural Networks, pages 195—200. d-side publications, 2009.
[24]
Mathieu Fauvel, Jocelyn Chanussot, and Jon Atli Benediktsson. Kernel principal component analysis for the construction of the extended morphological profile. In Geoscience and Remote Sensing Symposium, 2009 IEEE International, IGARSS 2009, volume 2, pages II—843. IEEE, 2009.
[25]
Jocelyn Chanussot, Jon-Atli Benediktsson, Mathieu Fauvel, and Yuliya Tarabalka. Spectral-spatial analysis in hyperspectral remote sensing: from morphological profiles to classified segmentation. In SPIE Europe Remote Sensing, pages 74770E—74770E. International Society for Optics and Photonics, 2009.
[26]
Yuliya Tarabalka, Jocelyn Chanussot, Jon Atli Benediktsson, Jesus Angulo, and Mathieu Fauvel. Segmentation and classification of hyperspectral data using watershed. In Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International, volume 3, pages III—652. IEEE, 2008.
[27]
Alberto Villa, Mathieu Fauvel, Jocelyn Chanussot, Paolo Gamba, and Jon Atli Benediktsson. Gradient optimization for multiple kernel’s parameters in support vector machines classification. In Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International, volume 4, pages IV—224. IEEE, 2008.
[28]
Mathieu Fauvel, Jocelyn Chanussot, and Jon Atli Benediktsson. Adaptive pixel neighborhood definition for the classification of hyperspectral images with support vector machines and composite kernel. In Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on, pages 1884—1887. IEEE, 2008.
[29]
Jón Atli Benediktsson, Xavier Ceamanos Garcia, Björn Waske, Jocelyn Chanussot, Johannes R Sveinsson, and Mathieu Fauvel. Ensemble methods for classification of hyperspectral data. In Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International, volume 1, pages I—62. IEEE, 2008.
[30]
Mathieu Fauvel, Jocelyn Chanussot, and Jon Atli Benediktsson. Classification en imagerie hyperspectrale haute résolution: utilisation conjointe de l’information spatiale et spectrale. In 21° Colloque GRETSI, Troyes, FRA, 11-14 septembre 2007. GRETSI, Groupe d’Etudes du Traitement du Signal et des Images, 2007.
[31]
Jon Atli Benediktsson, Jocelyn Chanussot, and Mathieu Fauvel. Multiple classifier systems in remote sensing: from basics to recent developments. In Multiple Classifier Systems, pages 501—512. Springer Berlin Heidelberg, 2007.
[32]
Mathieu Fauvel, Jocelyn Chanussot, and Jon Atli Benediktsson. A joint spatial and spectral svm’s classification of panchromatic images. In Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International, pages 1497—1500. IEEE, 2007.
[33]
Mathieu Fauvel, Jocelyn Chanussot, and Jon Atli Benediktsson. How transferable are spatial features for the classification of very high resolution remote sensing data? In Urban Remote Sensing Joint Event, 2007, pages 1—5. IEEE, 2007.
[34]
Mathieu Fauvel, Jocelyn Chanussot, Jon Atli Benediktsson, et al. A combined support vector machines classification based on decision fusion. In IEEE International Geoscience and Remote Sensing Symposium, IGARSS, volume 6, 2006.
[35]
Antonio Plaza, Mathieu Fauvel, Jon Atli Benediktsson, Jocelyn Chanussot, John Boardman, John Brazile, Lorenzo Bruzzone, Gustavo Camps-Valls, Paolo Gamba, A Gualtieri, et al. Analysis of hyperspectral images—advanced technologies. In Geoscience and Remote Sensing Symposium, 2006. IGARSS‘06. Proceedings. 2006 IEEE International, pages 1—5. IEEE, 2006.
[36]
Mathieu Fauvel, Jocelyn Chanussot, and Jon Atli Benediktsson. Evaluation of kernels for multiclass classification of hyperspectral remote sensing data. In Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on, volume 2, pages II—II. IEEE, 2006.
[37]
Antonio Plaza, Jon Atli Benediktsson, Joseph Boardman, John Brazile, Lorenzo Bruzzone, Gustavo Camps-Valls, Jocelyn Chanussot, Mathieu Fauvel, Paolo Gamba, Albin Gualtieri, et al. Advanced processing of hyperspectral images. In Geoscience and Remote Sensing Symposium, 2006. IGARSS 2006. IEEE International Conference on, pages 1974—1978. IEEE, 2006.
[38]
Mathieu Fauvel, Jocelyn Chanussot, and Jon Atli Benediktsson. Kernel principal component analysis for feature reduction in hyperspectrale images analysis. In Signal Processing Symposium, 2006. NORSIG 2006. Proceedings of the 7th Nordic, pages 238—241. IEEE, 2006.
[39]
Mathieu Fauvel, Jocelyn Chanussot, Jon Atli Benediktsson, et al. Fusion of methods for the classification of remote sensing images from urban areas. In IEEE International Geoscience and Remote Sensing Symposium, IGARSS, volume 4, page 2819, 2005.
[40]
Mathieu Fauvel, Jocelyn Chanussot, and Jon Atli Benediktsson. Fusion de méthodes pour la classification de zones urbaines en télédétection satellitaire. In 20° Colloque sur le traitement du signal et des images, FRA, 2005. GRETSI, Groupe d’Etudes du Traitement du Signal et des Images, 2005.
[41]
Mathieu Fauvel, Jon Aevar Palmason, Jon Atli A Benediktsson, Jocelyn Chanussot, and Johannes R Sveinsson. Classification of remote sensing imagery with high spatial resolution. In Remote Sensing, pages 598201—598201. International Society for Optics and Photonics, 2005.

Scientific School

[1]
Mathieu Fauvel. Course on hyperspectral image processing, May 2017. http://prodinra.inra.fr/record/392672. [ DOI | www: ]
[2]
Mauro Dalla Mura and Mathieu Fauvel. Image analysis of hyperspectral data using mathematical morphology, June 2014. http://prodinra.inra.fr/record/391260. [ DOI | www: ]

Thesis

[1]
Mathieu Fauvel. Spectral and spatial methods for the classification of urban remote sensing data. PhD thesis, Institut National Polytechnique de Grenoble-INPG; Université d’Islande, 2007.