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home/Knowledge Base/CODES/Spectral Unmixing/An Augmented Linear Mixing Model to Address Spectral Variability for Hyperspectral Unmixing

An Augmented Linear Mixing Model to Address Spectral Variability for Hyperspectral Unmixing

April 27, 2020

An Augmented Linear Mixing Model to Address Spectral Variability for Hyperspectral Unmixing
Danfeng Hong, Naoto Yokoya, Jocelyn Chanussot, Xiao Xiang Zhu

IEEE Transactions on Image Processing (TIP)
Publication Year: 2019 , Page(s): 28(4): 1923-1938.

code : https://drive.google.com/open?id=1kt4KcVTsP1jyGqi6prygn3DaGHXTUItm

Tags:alternating direction method of multiplierslow-coherent dictionary learningremote sensingspectral unmixingspectral variability
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  Bayesian Unmixing of Hyperspectral Image Sequence With Composite Priors for Abundance and Endmember Variability

A Novel Negative Abundance‐Oriented Hyperspectral Unmixing Algorithm  

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