Robust Hyperspectral Unmixing with Practical Learning-Based Hyperspectral Image Denoising

Robust Hyperspectral Unmixing with Practical Learning-Based Hyperspectral Image Denoising

The noise corruption problem commonly exists in hyperspectral images (HSIs) and severely affects the accuracy of hyperspectral unmixing algorithms. The noise formulation existing in HSIs is relatively complex and would change in conjunction with different devices and imaging settings. For real appli...

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Bibliographic Details
Main Authors: Risheng Huang, Xiaorun Li, Yiming Fang, Zeyu Cao, Chaoqun Xia
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Remote Sensing
Subjects:
hyperspectral unmixing
robustness
hyperspectral image denoising
k-sigma transform
deep learning
Online Access:https://www.mdpi.com/2072-4292/15/4/1058

Internet

https://www.mdpi.com/2072-4292/15/4/1058

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