709 citations · 4.7k across the 56 of their papers we have counts for
12 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,…
Fast Single Image Super-Resolution
Ningning Zhao, Qi Wei, Adrian Basarab +3
This paper addresses the problem of single image super-resolution (SR), which consists of recovering a high resolution image from its blurred, decimated and noisy version. The exis…
Bayesian Structured Sparsity Priors for EEG Source Localization Technical Report
Facundo Costa, Hadj Batatia, Thomas Oberlin +1
This report introduces a new hierarchical Bayesian model for the EEG source localization problem. This model promotes structured sparsity to search for focal brain activity. This s…
Fast Spectral Unmixing based on Dykstra's Alternating Projection
Qi Wei, Jose Bioucas-Dias, Nicolas Dobigeon +1
This paper presents a fast spectral unmixing algorithm based on Dykstra's alternating projection. The proposed algorithm formulates the fully constrained least squares optimization…
A Survey of Stochastic Simulation and Optimization Methods in Signal Processing
Marcelo Pereyra, Philip Schniter, Emilie Chouzenoux +4
Modern signal processing (SP) methods rely very heavily on probability and statistics to solve challenging SP problems. SP methods are now expected to deal with ever more complex m…
Hyperspectral pansharpening: a review
Laetitia Loncan, Luis B. Almeida, José M. Bioucas-Dias +12
Pansharpening aims at fusing a panchromatic image with a multispectral one, to generate an image with the high spatial resolution of the former and the high spectral resolution of…
Nonparametric Detection of Nonlinearly Mixed Pixels and Endmember Estimation in Hyperspectral Images
Tales Imbiriba, José Carlos Moreira Bermudez, Cédric Richard +1
Mixing phenomena in hyperspectral images depend on a variety of factors such as the resolution of observation devices, the properties of materials, and how these materials interact…
Band selection in RKHS for fast nonlinear unmixing of hyperspectral images
T. Imbiriba, J. C. M. Bermudez, C. Richard +1
The profusion of spectral bands generated by the acquisition process of hyperspectral images generally leads to high computational costs. Such difficulties arise in particular with…
Bayesian Estimation of Smooth Altimetric Parameters: Application to Conventional and Delay/Doppler Altimetry
Abderrahim Halimi, Corinne Mailhes, Jean-Yves Tourneret +1
This paper proposes a new Bayesian strategy for the smooth estimation of altimetric parameters. The altimetric signal is assumed to be corrupted by a thermal and speckle noise dist…
Fast Fusion of Multi-Band Images Based on Solving a Sylvester Equation
Qi Wei, Nicolas Dobigeon, Jean-Yves Tourneret
This paper proposes a fast multi-band image fusion algorithm, which combines a high-spatial low-spectral resolution image and a low-spatial high-spectral resolution image. The well…
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…
Estimating the Intrinsic Dimension of Hyperspectral Images Using an Eigen-Gap Approach
A. Halimi, P. Honeine, M. Kharouf +2
Linear mixture models are commonly used to represent hyperspectral datacube as a linear combinations of endmember spectra. However, determining of the number of endmembers for imag…