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
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
An Open Evaluation of Hyperspectral Unmixing Strategies for EDS Analysis. [PDF]
Taillon JA.
europepmc +1 more source
A Dye-Free Analog to Retinal Angiography Using Hyperspectral Unmixing to Retrieve Oxyhemoglobin Abundance. [PDF]
Dwight JG +3 more
europepmc +1 more source
Spatial-Channel Multiscale Transformer Network for Hyperspectral Unmixing. [PDF]
Sun H, Cao Q, Meng F, Xu J, Cheng M.
europepmc +1 more source
Autoencoder-Based Hyperspectral Unmixing with Simultaneous Number-of-Endmembers Estimation. [PDF]
Alshahrani AA, Bchir O, Ben Ismail MM.
europepmc +1 more source
Hyperspectral unmixing for Raman spectroscopy via physics-constrained autoencoders. [PDF]
Georgiev D +6 more
europepmc +1 more source
Differentiation of sphingomyelin and cholesterol by hyperspectral mid-infrared detection of single-bond vibrational modes in the fingerprint region. [PDF]
Gasparin F +7 more
europepmc +1 more source
Spectral Unmixing to Reduce Refraction Effects in Feulgen-Stained Slides. [PDF]
Noureddine K +6 more
europepmc +1 more source
Illuminating native fluorescence signatures for cancer detection. [PDF]
Tang-Holmes R +8 more
europepmc +1 more source

