An Outlier-Insensitive Unmixing Algorithm With Spatially Varying Hyperspectral Signatures

An Outlier-Insensitive Unmixing Algorithm With Spatially Varying Hyperspectral Signatures

Effective hyperspectral unmixing (HU) is essential to the estimation of the underlying materials' signatures (endmember signatures) and their spatial distributions (abundance maps) from a given image (data) of a hyperspectral scene. Recently, investigating HU under the non-negligible endmember...

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Bibliographic Details
Main Authors: Yao-Rong Syu, Chia-Hsiang Lin, Chong-Yung Chi
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Hyperspectral imaging
endmember variability
outlier effects
block successive upper bound minimization (BSUM)
block coordinate descent (BCD) method
alternating direction method of multipliers (ADMM)
Online Access:https://ieeexplore.ieee.org/document/8600733/

Internet

https://ieeexplore.ieee.org/document/8600733/

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