Robust low-rank abundance matrix estimation for hyperspectral unmixing

Robust low-rank abundance matrix estimation for hyperspectral unmixing

Hyperspecral unmixing (HU) is one of the crucial steps of hyperspectral image (HSI) processing. The process of HU can be divided into end-member extraction and abundance estimation. Lots of abundance estimation methods just take some properties of abundance into consideration, such as non-negative,...

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Bibliographic Details
Main Authors: Fan Feng, Baojun Zhao, Linbo Tang, Wenzheng Wang, Sen Jia
Format: Article
Language:English
Published: Wiley 2019-10-01
Series:The Journal of Engineering
Subjects:
geophysical image processing
hyperspectral imaging
geophysical techniques
hsi
hu
end-member extraction
abundance estimation methods
noise corruption
high-noise bands
estimation accuracy reduction
abundance estimation model
signal-to-noise ratio bands
synthetic data
real hyperspectral data
low-rank abundance matrix estimation
hyperspectral unmixing
hyperspectral image processing
water absorption
atmospheric transmission
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0528

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https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0528

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