BOURGUIGNON , Sébastien

We address the problem of joint signal restoration and parameter estimation in the context of the forthcoming MUSE instrument, which will provide spectroscopic measurements of light emitted by very distant galaxies. Restoration of spectra is formulated as a linear inverse problem, accounting for the instrument response and the noise spectral...

We address the problem of joint signal restoration and parameter estimation in the context of the forthcoming MUSE instrument, which will provide spectroscopic measurements of light emitted by very distant galaxies. Restoration of spectra is formulated as a linear inverse problem, accounting for the instrument response and the noise spectral...

International audience

Nous envisageons la restauration d'observations en imagerie hyperspectrale de champs profonds de l'univers pour le projet instrumental MUSE. En raison de la taille massive des données et du fort niveau de bruit, le problème global de restauration demande à la fois une réduction de dimension et la prise en compte d'informations a priori...

The study focuses on modelling and estimating the Point Spread Function of the hyperspectral data acquisition chain, for a ground-based instrument. The main difficulties lie in the PSF variations w.r.t. observational conditions, wavelength and position in the field of view. Such modelling is essential for the analysis and processing of these...

Detecting minerals on a huge hyperspectral dataset (> To) is a difficult task that we proposed to address using linear unmixing techniques. We test different algorithms with positivity constrains on a typical Martian hyperspectral image of the Syrtis Major volcanic complex. The usefulness of additional constrains, such as sparsity and...

International audience