709 citations
- Centre National de la Recherche ScientifiqueFR137 papers
- Université Toulouse III - Paul SabatierFR132 papers
- Université de ToulouseFR103 papers
- Institut de Recherche en Informatique de ToulouseFR101 papers
- Université Fédérale de Toulouse Midi-PyrénéesFR65 papers
- École Nationale Supérieure d'Électrotechnique, d'Électronique, d'Informatique, d'Hydraulique et des TélécommunicationsFR61 papers
- Université Toulouse - Jean JaurèsFR44 papers
- Institut Polytechnique de BordeauxFR43 papers
- Université Toulouse-I-CapitoleFR43 papers
- Laboratoire Plasma et Conversion d'EnergieFR42 papers
- Data Management (Italy)IT24 papers
- Laboratoire d'Informatique, de Robotique et de Microélectronique de MontpellierFR24 papers
10 papers · 1 filter
Split-and-augmented Gibbs sampler - Application to large-scale inference problems
Maxime Vono, Nicolas Dobigeon, Pierre Chainais
This paper derives two new optimization-driven Monte Carlo algorithms inspired from variable splitting and data augmentation. In particular, the formulation of one of the proposed…
Hyperspectral unmixing with spectral variability using a perturbed linear mixing model
Pierre-Antoine Thouvenin, Nicolas Dobigeon, Jean-Yves Tourneret
Given a mixed hyperspectral data set, linear unmixing aims at estimating the reference spectral signatures composing the data - referred to as endmembers - their abundance fraction…
Unsupervised Unmixing of Hyperspectral Images Accounting for Endmember Variability
Abderrahim Halimi, Nicolas Dobigeon, Jean-Yves Tourneret
This paper presents an unsupervised Bayesian algorithm for hyperspectral image unmixing accounting for endmember variability. The pixels are modeled by a linear combination of endm…
Nonlinear hyperspectral unmixing with robust nonnegative matrix factorization
Cédric Févotte, Nicolas Dobigeon
This paper introduces a robust mixing model to describe hyperspectral data resulting from the mixture of several pure spectral signatures. This new model not only generalizes the c…
Joint Bayesian estimation of close subspaces from noisy measurements
Olivier Besson, Nicolas Dobigeon, Jean-Yves Tourneret
In this letter, we consider two sets of observations defined as subspace signals embedded in noise and we wish to analyze the distance between these two subspaces. The latter entai…
Residual component analysis of hyperspectral images -- Application to joint nonlinear unmixing and nonlinearity detection
Yoann Altmann, Nicolas Dobigeon, Steve McLaughlin +1
This paper presents a nonlinear mixing model for joint hyperspectral image unmixing and nonlinearity detection. The proposed model assumes that the pixel reflectances are linear co…