DHCAE: Deep Hybrid Convolutional Autoencoder Approach for Robust Supervised Hyperspectral Unmixing

Hyperspectral unmixing (HSU) is a crucial method to determine the fractional abundance of the material (endmembers) in each pixel. Most spectral unmixing methods are affected by low signal-to-noise ratios because of noisy pixels and bands simultaneously, requiring robust HSU techniques that exploit...

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Detalhes bibliográficos

Principais autores:	Fazal Hadi, Jingxiang Yang, Matee Ullah, Irfan Ahmad, Ghulam Farooque, Liang Xiao
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2022-09-01
coleção:	Remote Sensing
Assuntos:	hyperspectral unmixing (HSU) hybrid 3D 2D-convolutional autoencoder (AE) network supervised spectral–spatial remote sensing
Acesso em linha:	https://www.mdpi.com/2072-4292/14/18/4433
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