Nonconvex-sparsity and Nonlocal-smoothness Based Blind Hyperspectral Unmixing

Blind hyperspectral unmixing (HU), as a crucial technique for hyperspectral data exploitation, aims to decompose mixed pixels into a collection of constituent materials weighted by the corresponding fractional abundances. In recent years, nonnegative matrix factorization (NMF) based methods have bec...

Description complète

Détails bibliographiques

Publié dans:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - (2019) vom: 17. Jan.
Auteur principal:	Yao, Jing (Auteur)
Autres auteurs:	Meng, Deyu, Zhao, Qian, Cao, Wenfei, Xu, Zongben
Format:	Article en ligne
Langue:	English
Publié:	2019
Accès à la collection:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Sujets:	Journal Article