Adrien Lagrange

According to our database, Adrien Lagrange authored at least 9 papers between 2015 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

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

2019

From representation learning to thematic classification - Application to hierarchical analysis of hyperspectral images. (De l'apprentissage de représentation à la classification thématique - Application à l'analyse hiérarchique d'images hyperspectrales).

Adrien Lagrange

PhD thesis, 2019

Hierarchical Bayesian image analysis: From low-level modeling to robust supervised learning.

Adrien Lagrange, Mathieu Fauvel, Stéphane May, Nicolas Dobigeon

Pattern Recognit., 2019

Matrix Cofactorization for Joint Unmixing and Classification of Hyperspectral Images.

Adrien Lagrange, Mathieu Fauvel, Stéphane May, José M. Bioucas-Dias, Nicolas Dobigeon

Proceedings of the 27th European Signal Processing Conference, 2019

2018

A Bayesian Model for Joint Unmixing and Robust Classification of Hyperspectral Images.

Adrien Lagrange, Mathieu Fauvel, Stéphane May, Nicolas Dobigeon

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.

Adrien Lagrange, Mathieu Fauvel, Manuel Grizonnet

IEEE Trans. Computational Imaging, 2017

2016

Processing of Extremely High-Resolution LiDAR and RGB Data: Outcome of the 2015 IEEE GRSS Data Fusion Contest-Part A: 2-D Contest.

Manuel Campos-Taberner, Adriana Romero-Soriano, Carlo Gatta, Gustau Camps-Valls, Adrien Lagrange, Bertrand Le Saux, Anne Beaupère, Alexandre Boulch, Adrien Chan-Hon-Tong, Stéphane Herbin, Hicham Randrianarivo, Marin Ferecatu, Michal Shimoni, Gabriele Moser, Devis Tuia

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

2015

Benchmarking classification of earth-observation data: From learning explicit features to convolutional networks.

Adrien Lagrange, Bertrand Le Saux, Anne Beaupère, Alexandre Boulch, Adrien Chan-Hon-Tong, Stéphane Herbin, Hicham Randrianarivo, Marin Ferecatu

Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015