A New Approach to Dictionary-Based Nonnegative Matrix Factorization

Jérémy E Cohen (1) , Nicolas Gillis (2)

1 Fonds de la Recherche Scientifique [FNRS]
2 UMONS - University of Mons [Belgium]

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.

Domaines: Traitement du signal et de l'image [eess.SP]

Jérémy E Cohen, Nicolas Gillis. A New Approach to Dictionary-Based Nonnegative Matrix Factorization. EUSIPCO 2017, Aug 2017, Kos, Greece. ⟨10.23919/EUSIPCO.2017.8081256⟩. ⟨hal-01493420⟩