709 citations · 4.7k across the 56 of their papers we have counts for
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A Hierarchical Bayesian Model Accounting for Endmember Variability and Abrupt Spectral Changes to Unmix Multitemporal Hyperspectral Images
Pierre-Antoine Thouvenin, Nicolas Dobigeon, Jean-Yves Tourneret
Hyperspectral unmixing is a blind source separation problem which consists in estimating the reference spectral signatures contained in a hyperspectral image, as well as their rela…
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,…
Bayesian estimation of the multifractality parameter for image texture using a Whittle approximation
Sébastien Combrexelle, Herwig Wendt, Nicolas Dobigeon +3
Texture characterization is a central element in many image processing applications. Multifractal analysis is a useful signal and image processing tool, yet, the accurate estimatio…
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…
Joint Bayesian endmember extraction and linear unmixing for hyperspectral imagery
Nicolas Dobigeon, Said Moussaoui, Martial Coulon +2
This paper studies a fully Bayesian algorithm for endmember extraction and abundance estimation for hyperspectral imagery. Each pixel of the hyperspectral image is decomposed as a…
Hierarchical Bayesian sparse image reconstruction with application to MRFM
Nicolas Dobigeon, Alfred O. Hero, Jean-Yves Tourneret
This paper presents a hierarchical Bayesian model to reconstruct sparse images when the observations are obtained from linear transformations and corrupted by an additive white Gau…