In hyperspectral unmixing, the prevalent model used is the linear mixing model, and a large
variety of techniques based on this model has been proposed to obtain endmembers and …

The composite nature of remotely sensed spectral information often masks diagnostic
spectral features and hampers the detailed identification and map** of targeted …

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

Variable illumination and environmental, atmospheric, and temporal conditions cause the
measured spectral signature for a material to vary within hyperspectral imagery. By ignoring …

In this work, many of the fundamental and advanced spectral processing methods available
to geologic remote sensing are reviewed. A novel categorization scheme is proposed that …

INTRODUCTION Dwarf planet Ceres' low average-density (2162±3 kg m− 3) indicates that it
must contain considerable water. Water is likely a key component in the chemical evolution …

Hyperspectral unmixing while considering endmember variability is usually performed by
the normal compositional model, where the endmembers for each pixel are assumed to be …

Localized dark and bright materials, often with extremely different albedos, were recently
found on Vesta's surface,. The range of albedos is among the largest observed on Solar …

We present the Infrared spectrometer of SuperCam Instrument Suite that enables the Mars
2020 Perseverance Rover to study remotely the Martian mineralogy within the Jezero crater …

This paper introduces the beta compositional model (BCM) for hyperspectral unmixing and
four algorithms for unmixing given the BCM. Hyperspectral unmixing estimates the …