Hyperspectral Images Unmixing Based on Abundance Constrained Multi-Layer KNMF

Hyperspectral Images Unmixing Based on Abundance Constrained Multi-Layer KNMF

Due to the low spatial resolution of the sensors, the hyperspectral images contain mixed pixels. The purpose of hyperspectral unmixing is to decompose the mixed pixels into a series of endmembers and abundance fractions. In order to improve the performance of the nonlinear unmixing algorithm for hyp...

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Bibliographic Details
Main Authors: Jing Liu, You Zhang, Yi Liu, Caihong Mu
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Multi-layer kernel non-negative matrix factorization (MLKNMF)
abundance constrained
hyperspectral data
mixed pixels
Online Access:https://ieeexplore.ieee.org/document/9462088/

Internet

https://ieeexplore.ieee.org/document/9462088/

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