Hyperspectral unmixing has been an important technique that estimates a set of
endmembers and their corresponding abundances from a hyperspectral image (HSI) …

Hyperspectral (HS) imaging, also known as image spectrometry, is a landmark technique in
geoscience and remote sensing (RS). In the past decade, enormous efforts have been made …

Over the past decade, the incorporation of spatial information has drawn increasing attention
in multispectral and hyperspectral data analysis. In particular, the property of spatial …

Blind hyperspectral unmixing is the process of expressing the measured spectrum of a pixel
as a combination of a set of spectral signatures called endmembers and simultaneously …

Blind hyperspectral unmixing (HU), which includes the estimation of endmembers and their
corresponding fractional abundances, is an important task for hyperspectral analysis …

Hyperspectral unmixing, the process of estimating a common set of spectral bases and their
corresponding composite percentages at each pixel, is an important task for hyperspectral …

Blind hyperspectral unmixing (HU), as a crucial technique for hyperspectral data
exploitation, aims to decompose mixed pixels into a collection of constituent materials …

Hyperspectral Unmixing (HU) has received increasing attention in the past decades due to
its ability of unveiling information latent in hyperspectral data. Unfortunately, most existing …

Remotely sensed hyperspectral images contain several bands (at about adjoining
frequencies) for a similar zone on the surface of the Earth. Hyperspectral unmixing is a …

The nonnegative matrix factorization (NMF) combining with spatial-spectral contextual
information is an important technique for extracting endmembers and abundances of …