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...

Olles dieđut

Bibliográfalaš dieđut

Váldodahkkit:	Fazal Hadi, Jingxiang Yang, Matee Ullah, Irfan Ahmad, Ghulam Farooque, Liang Xiao
Materiálatiipa:	Artigo
Giella:	Inglês
Almmustuhtton:	MDPI AG 2022-09-01
Ráidu:	Remote Sensing
Fáttát:	hyperspectral unmixing (HSU) hybrid 3D 2D-convolutional autoencoder (AE) network supervised spectral–spatial remote sensing
Liŋkkat:	https://www.mdpi.com/2072-4292/14/18/4433
Fáddágilkorat:	Lasit fáddágilkoriid Eai fáddágilkorat, Lasit vuosttaš fáddágilkora!