Spectral pixels are often a mixture of the pure spectra of the materials, called endmembers,
due to the low spatial resolution of hyperspectral sensors, double scattering, and intimate …

In this paper, we propose a pioneering approach for blind Hyperspectral Image (HSI)
unmixing named Multi-Features Graph Deep Fusion Learning Networks for HSI Unmixing …

Various improved nonnegative matrix factorization (NMF) methods have been widely used
in spectral unmixing (SU), including nonlinear versions to counter for the lower spatial …

Hyperspectral unmixing (HU), an essential procedure for various environmental
applications, has garnered significant attention within remote sensing communities. Among …

Based on double-compressed sampling, a hyperspectral spectral unmixing algorithm
(SU_DCS) is proposed, which could directly complete the endmember extraction and …