Hyperspectral Unmixing Using Robust Deep Nonnegative Matrix Factorization

Hyperspectral Unmixing Using Robust Deep Nonnegative Matrix Factorization

Nonnegative matrix factorization (NMF) and its numerous variants have been extensively studied and used in hyperspectral unmixing (HU). With the aid of the designed deep structure, deep NMF-based methods demonstrate advantages in exploring the hierarchical features of complex data. However, a noise...

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Bibliographic Details
Main Authors: Risheng Huang, Huiyun Jiao, Xiaorun Li, Shuhan Chen, Chaoqun Xia
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Remote Sensing
Subjects:
hyperspectral unmixing
robustness
<i>ℓ</i><sub>2,1</sub> norm
deep nonnegative factorization
Online Access:https://www.mdpi.com/2072-4292/15/11/2900

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https://www.mdpi.com/2072-4292/15/11/2900

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