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home/Knowledge Base/CODES/Spectral Unmixing/Bayesian Unmixing of Hyperspectral Image Sequence With Composite Priors for Abundance and Endmember Variability

Bayesian Unmixing of Hyperspectral Image Sequence With Composite Priors for Abundance and Endmember Variability

April 6, 2021

Bayesian Unmixing of Hyperspectral Image Sequence With Composite Priors for Abundance and Endmember Variability
H. Liu, Y. Lu, Z. Wu, Q. Du, J. Chanussot and Z. Wei

IEEE Transactions on Geoscience and Remote Sensing
DOI: 10.1109/TGRS.2021.3064708

Tags:bayesian unmixingendmember variabilityhyperspectral imageMarkov chain Monte Carlo method
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  • CODES
    • Anomaly
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    • Classification of Hyperspectral Images
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  CoSpace: Common Subspace Learning from Hyperspectral-Multispectral Correspondences

A Trainable Spectral-Spatial Sparse Coding Model for Hyperspectral Image Restoration  

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