An Efficient Attention-Based Convolutional Neural Network That Reduces the Effects of Spectral Variability for Hyperspectral Unmixing

The purpose of hyperspectral unmixing (HU) is to obtain the spectral features of materials (endmembers) and their proportion (abundance) in a hyperspectral image (HSI). Due to the existence of spectral variabilities (SVs), it is difficult to obtain accurate spectral features. At the same time, the p...

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Detalhes bibliográficos

Principais autores:	Baohua Jin, Yunfei Zhu, Wei Huang, Qiqiang Chen, Sijia Li
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2022-11-01
coleção:	Applied Sciences
Assuntos:	hyperspectral unmixing convolutional neural network endmember bundle spectral variability attention mechanism
Acesso em linha:	https://www.mdpi.com/2076-3417/12/23/12158
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