29 citations · 49 across the 10 of their papers we have counts for
7 papers · 1 filter
Hyperspectral and multispectral image fusion under spectrally varying spatial blurs -- Application to high dimensional infrared astronomical imaging
Claire Guilloteau, Thomas Oberlin, Olivier Berné +1
Hyperspectral imaging has become a significant source of valuable data for astronomers over the past decades. Current instrumental and observing time constraints allow direct acqui…
Matrix cofactorization for joint spatial-spectral unmixing of hyperspectral images
Adrien Lagrange, Mathieu Fauvel, Stéphane May +1
Hyperspectral unmixing aims at identifying a set of elementary spectra and the corresponding mixture coefficients for each pixel of an image. As the elementary spectra correspond t…
Matrix Cofactorization for Joint Representation Learning and Supervised Classification -- Application to Hyperspectral Image Analysis
Adrien Lagrange, Mathieu Fauvel, Stéphane May +2
Supervised classification and representation learning are two widely used classes of methods to analyze multivariate images. Although complementary, these methods have been scarcel…
Hierarchical Bayesian image analysis: from low-level modeling to robust supervised learning
Adrien Lagrange, Mathieu Fauvel, Stéphane May +1
Within a supervised classification framework, labeled data are used to learn classifier parameters. Prior to that, it is generally required to perform dimensionality reduction via…
Unmixing dynamic PET images with variable specific binding kinetics
Yanna Cruz Cavalcanti, Thomas Oberlin, Nicolas Dobigeon +3
To analyze dynamic positron emission tomography (PET) images, various generic multivariate data analysis techniques have been considered in the literature, such as principal compon…
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…