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

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 …

We tested the suitability and accuracy of hyperspectral data to produce the first African
flowering and short-term floral cycle map. The spatial distribution and abundance, as well as …

Accurate detection of weeds in farmland can help reduce pesticide use and protect the
agricultural environment. To develop intelligent equipment for weed detection, this study …

Hyperspectral remote sensing is an effective tool to discriminate plant species, providing
vast potential to trace plant invasions for ecological assessments. However, necessary …

Successful retrieval of urban impervious surface area is achieved with remote sensing data
using the multiple endmember spectral mixture analysis (MESMA). MESMA is well suited for …

Spectral unmixing (SU) is a crucial processing step when analyzing hyperspectral data. In
such analysis, most of the work in the literature relies on the widely acknowledged linear …

Many applications require a timely acquisition of high spatial and spectral resolution remote
sensing data. This is often not achievable since spaceborne remote sensing instruments …

A volume in the three-volume Remote Sensing Handbook series, Remote Sensing of Water
Resources, Disasters, and Urban Studies documents the scientific and methodological …

The advancing technology of hyperspectral remote sensing offers the opportunity of
accurate land cover characterization of complex natural environments. In this study, a linear …