Results 81 to 90 of about 1,407 (163)

Updated Homogeneity Criteria Based Low-Dimensional Representation for Hyperspectral Unmixing

open access: yesIEEE Access
Superpixel-based approaches have been proposed for hyperspectral unmixing. The basic assumption of this approach is that the superpixel over-segmentation segments the image into small homogeneous areas.
Jiarui Yi, Huiyi Gao
doaj   +1 more source

A Global-to-Local Spectral-Spatial Attention-Based Nonlinearity and Scaled Endmember Variability Parametric Learning Network for Unmixing

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Hyperspectral unmixing has attracted increasing attention in remote sensing applications. Unfortunately, significant unmixing residuals often arise from the coupled nonlinear mixing effects and spectral variability (SV), bringing challenges for reliably ...
Yi Zhao, Bin Yang
doaj   +1 more source

SCSU–GDO: Superpixel Collaborative Sparse Unmixing with Graph Differential Operator for Hyperspectral Imagery

open access: yesRemote Sensing
In recent years, remarkable advancements have been achieved in hyperspectral unmixing (HU). Sparse unmixing, in which models mix pixels as linear combinations of endmembers and their corresponding fractional abundances, has become a dominant paradigm in ...
Kaijun Yang   +3 more
doaj   +1 more source

Contributions to Hyperspectral Unmixing

open access: yes, 2017
Le démelangeage spectral est un domaine de recherche actif qui trouve des applications dans des domaines variés comme la télédétection, le traitement des signaux audio ou la chimie. Dans le contexte des capteurs hyper spectraux, les images acquises sont souvent de faible résolution spatiale, principalement à cause des limites technologiques liées aux ...
openaire   +1 more source

Hyperspectral unmixing for Raman spectroscopy via physics-constrained autoencoders. [PDF]

open access: yesProc Natl Acad Sci U S A
Georgiev D   +6 more
europepmc   +1 more source

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