5 accepted papers
This article introduces a new method for decontaminating galaxy spectra within the framework of the Euclid space mission. Unlike our previously proposed methods that rely on a linear instantaneous model, this new method is based on a more realistic convolutive model. This model enables simultaneous…
In this paper, we are interested in the blind separation of linear-quadratic mixtures of mutually independent sources when successive samples of each source are correlated. When a linear source separation method based on second-order statistics, like the well-known AMUSE method, is applied to this t…
We consider the problem of decontaminating galaxy spectra in the context of the EUCLID space mission. The spectra of neighboring astronomical objects being spatially mixed, a source separation method should be used to separate them. Here, we propose a new method based on the fusion of information be…
In this paper, a new approach is proposed for linear endmember spectra extraction from a highly mixed hyperspectral image combined with high spatial resolution multispectral data containing pure pixels. This new approach, which is applied to unmix the considered hyperspectral image, is based on a mo…
In this paper, we address the problem of spectral unmixing in urban hyperspectral images using a Maximum A Posteriori (MAP)-based Non-negative Matrix Factorization (NMF) approach. Considering a Linear-Quadratic (LQ) mixing model, we seek to decompose the spectrum observed in each pixel of the image…