The spectral signatures of the materials contained in hyperspectral images, also called
endmembers (EMs), can be significantly affected by variations in atmospheric, illumination …

Multispectral and hyperspectral images captured by remote sensing satellites or airborne
sensors contain abundant information that can be used to study and analyze objects of …

Since the advent of hyperspectral remote sensing in the 1980s, it has made important
achievements in aerospace and aviation field and been applied in many fields …

Hyperspectral unmixing plays an important role in hyperspectral image processing and
analysis. It aims to decompose mixed pixels into pure spectral signatures and their …

Hyperspectral images provide much more information than conventional imaging
techniques, allowing a precise identification of the materials in the observed scene, but …

Multitemporal hyperspectral unmixing (MTHU) is a fundamental tool in the analysis of
hyperspectral image sequences. It reveals the dynamical evolution of the materials …

Mainly due to the limited spatial resolution of the data acquisition devices, hyperspectral
image pixels generally result from the mixture of several components that are present in the …

Spectral variability is one of the major issues when conducting hyperspectral unmixing.
Within a given image composed of some elementary materials (herein referred to as …

A hyperspectral image sequence can be obtained at different time in the same region from a
hyperspectral sensor. The environmental change usually leads to variation in endmember …

The richness of spectral information in multitemporal hyperspectral images (MHSIs) offers
the possibility to effectively detect subtle changes and properties of grounds. However …