A Global-to-Local Spectral-Spatial Attention-Based Nonlinearity and Scaled Endmember Variability Parametric Learning Network for Unmixing

Hyperspectral unmixing has attracted increasing attention in remote sensing applications. Unfortunately, significant unmixing residuals often arise from the coupled nonlinear mixing effects and spectral variability (SV), bringing challenges for reliably solving the underlying optimization problems i...

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Bibliographic Details

Published in:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Main Authors:	Yi Zhao, Bin Yang
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Subjects:	Autoencoder (AE) hyperspectral images (HSIs) nonlinear spectral unmixing spectral variability (SV) spectral-spatial attention
Online Access:	https://ieeexplore.ieee.org/document/11059320/