Independent Component Analysis-Based Estimation of Anomaly Abundances in Hyperspectral Images. - Alexis Huck; Mireille Guillaume (ACIVS, 2007)

A CFAR algorithm for anomaly detection and discrimination in hyperspectral images. - Alexis Huck; Mireille Guillaume (ICIP, 2008)

Estimation of the hyperspectral tucker ranks. - Alexis Huck; Mireille Guillaume (ICASSP, 2009)

Robust hyperspectral data unmixing with spatial and spectral regularized NMF. - Alexis Huck; Mireille Guillaume (WHISPERS, 2010)

Asymptotically CFAR-Unsupervised Target Detection and Discrimination in Hyperspectral Images With Anomalous-Component Pursuit. - Alexis Huck; Mireille Guillaume (IEEE Trans. Geosci. Remote. Sens., 2010)

Minimum Dispersion Constrained Nonnegative Matrix Factorization to Unmix Hyperspectral Data. - Alexis Huck; Mireille Guillaume; Jacques Blanc-Talon (IEEE Trans. Geosci. Remote. Sens., 2010)

On the interest of regularized non-negative matrix factorization algorithms versus geometrical algorithms. - Alexis Huck; Mireille Guillaume; W. Chen; Guillaume Oller; Manuel Grizonnet (WHISPERS, 2011)

Comparisonof local anomaly detection algorithms based on statistical hypothesis tests. - Alexis Huck; Mireille Guillaume; Guillaume Oller; Manuel Grizonnet (WHISPERS, 2011)

Hyperspectral change detection by direction pursuit. - Godefroy Brisebarre; Mireille Guillaume; Alexis Huck; L. Denise (WHISPERS, 2012)

Hyperspectral pan-sharpening: A variational convex constrained formulation to impose parallel level lines, solved with ADMM. - Alexis Huck; François de Vieilleville; Pierre Weiss; Manuel Grizonnet (WHISPERS, 2014)