Nonconvex Nonseparable Sparse Nonnegative Matrix Factorization for Hyperspectral Unmixing

Hyperspectral unmixing is an important step to learn the material categories and corresponding distributions in a scene. Over the past decade, nonnegative matrix factorization (NMF) has been utilized for this task, thanks to its good physical interpretation. The solution space of NMF is very huge du...

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Bibliographic Details

Published in:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Main Authors:	Fengchao Xiong, Jun Zhou, Jianfeng Lu, Yuntao Qian
Format:	Article
Language:	English
Published:	IEEE 2020-01-01
Subjects:	Generalized minimax concave (GMC) regularization hyperspectral unmixing nonnegative matrix factorization (NMF) sparse representation
Online Access:	https://ieeexplore.ieee.org/document/9210778/