Deep Nonnegative Dictionary Factorization for Hyperspectral Unmixing

As a powerful blind source separation tool, Nonnegative Matrix Factorization (NMF) with effective regularizations has shown significant superiority in spectral unmixing of hyperspectral remote sensing images (HSIs) owing to its good physical interpretability and data adaptability. However, the major...

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Bibliographic Details

Published in:	Remote Sensing
Main Authors:	Wenhong Wang, Hongfu Liu
Format:	Article
Language:	English
Published:	MDPI AG 2020-09-01
Subjects:	deep nonnegative dictionary factorization hyperspectral unmixing self-supervised learning sparse coding
Online Access:	https://www.mdpi.com/2072-4292/12/18/2882