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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Autori principali:	Baohua Jin, Yunfei Zhu, Wei Huang, Qiqiang Chen, Sijia Li
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2022-11-01
Serie:	Applied Sciences
Soggetti:	hyperspectral unmixing convolutional neural network endmember bundle spectral variability attention mechanism
Accesso online:	https://www.mdpi.com/2076-3417/12/23/12158
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