Multilinear hyperspectral unmixing based on autoencoder and recurrent neural network

Spectral unmixing techniques estimate the endmember spectra and corresponding abundance fractions that constitute the pixels of hyperspectral remote sensing images, revealing the mixing mechanisms of materials within pixels. In recent years, deep learning has shown significant potential in advancing...

Full description

Bibliographic Details

Published in:	Applied soft computing Vol. 185; p. 113972
Main Authors:	Jin, Zehui, Yi, Xiaorui, Liu, Yue, Zhang, Hongjuan
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.12.2025
Subjects:	Autoencoder network Hyperspectral image Nonlinear spectral unmixing Recurrent neural network Nonlinear spectral unmixing Recurrent neural network Hyperspectral image Autoencoder network
ISSN:	1568-4946
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!