A New Approach to Dictionary-Based Nonnegative Matrix Factorization
Résumé
In this paper, we propose a new model along with an algorithm for dictionary-based nonnegative matrix factorization. We show its effectiveness on spectral unmixing of hyperspectral images using self dictionary compared to state-of-the-art methods.
Origine : Fichiers produits par l'(les) auteur(s)