709 citations
- Institut National Polytechnique de ToulouseFR61 papers
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- Université de ToulouseFR43 papers
- Université Toulouse III - Paul SabatierFR32 papers
- Centre National de la Recherche ScientifiqueFR23 papers
- Institut Polytechnique de BordeauxFR20 papers
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- Laboratoire Plasma et Conversion d'EnergieFR12 papers
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9 papers · 1 filter
Online Unmixing of Multitemporal Hyperspectral Images accounting for Spectral Variability
Pierre-Antoine Thouvenin, Nicolas Dobigeon, Jean-Yves Tourneret
Hyperspectral unmixing is aimed at identifying the reference spectral signatures composing an hyperspectral image and their relative abundance fractions in each pixel. In practice,…
A comparison of nonlinear mixing models for vegetated areas using simulated and real hyperspectral data
Nicolas Dobigeon, Laurent Tits, Ben Somers +2
Spectral unmixing is a crucial processing step when analyzing hyperspectral data. In such analysis, most of the work in the literature relies on the widely acknowledged linear mixi…
Variational Assimilation for Xenon Dynamical Forecasts in Neutronic using Advanced Background Error Covariance Matrix
Angélique Ponçot, Jean-Philippe Argaud, Bertrand Bouriquet +3
Data assimilation method consists in combining all available pieces of information about a system to obtain optimal estimates of initial states. The different sources of informatio…
Nonlinear unmixing of hyperspectral images: models and algorithms
Nicolas Dobigeon, Jean-Yves Tourneret, Cédric Richard +3
When considering the problem of unmixing hyperspectral images, most of the literature in the geoscience and image processing areas relies on the widely used linear mixing model (LM…
Variational Semi-blind Sparse Deconvolution with Orthogonal Kernel Bases and its Application to MRFM
Se Un Park, Nicolas Dobigeon, Alfred O. Hero
We present a variational Bayesian method of joint image reconstruction and point spread function (PSF) estimation when the PSF of the imaging device is only partially known. To sol…
Semi-blind Sparse Image Reconstruction with Application to MRFM
Se Un Park, Nicolas Dobigeon, Alfred O. Hero
We propose a solution to the image deconvolution problem where the convolution kernel or point spread function (PSF) is assumed to be only partially known. Small perturbations gene…