Results 121 to 130 of about 77,969 (223)

Preprocessing Algorithm Leveraging Geometric Modeling for Scale Correction in Hyperspectral Images for Improved Unmixing Performance

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Spectral variability significantly impacts the accuracy and convergence of hyperspectral unmixing algorithms. Many methods address complex spectral variability; yet large-scale distortions to the scale of the observed pixel signatures due to topography ...
Praveen Sumanasekara, Athulya Ratnayake, Buddhi Wijenayake, Keshawa Ratnayake, Roshan Godaliyadda, Parakrama Ekanayake, Vijitha Herath   +6 more
doaj   +1 more source

Substance Dependence Constrained Sparse NMF for Hyperspectral Unmixing

, 2015
Hyperspectral unmixing is one of the most important problems in analyzing remote sensing images, which aims to decompose a mixed pixel into a collection of constituent materials named endmembers and their corresponding fractional abundances.
Lu, Xiaoqiang, Yuan, Yuan, Fu, Min
core   +1 more source

An Open Evaluation of Hyperspectral Unmixing Strategies for EDS Analysis. [PDF]

Microsc Microanal, 2018
Taillon JA.
europepmc   +1 more source

Contributions to Hyperspectral Unmixing

Contribution au démélange hyperspectral 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 ...
openaire   +2 more sources

A Dye-Free Analog to Retinal Angiography Using Hyperspectral Unmixing to Retrieve Oxyhemoglobin Abundance. [PDF]

Transl Vis Sci Technol, 2019
Dwight JG, Weng CY, Pawlowski ME, Tkaczyk TS.   +3 more
europepmc   +1 more source

An Abundance-Guided Mamba Network for Hyperspectral Unmixing. [PDF]

Entropy (Basel)
Tang Z, Wang X, Li B.
europepmc   +1 more source

Spatial-Channel Multiscale Transformer Network for Hyperspectral Unmixing. [PDF]

Sensors (Basel)
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]

Sensors (Basel)
Alshahrani AA, Bchir O, Ben Ismail MM.
europepmc   +1 more source

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

Proc Natl Acad Sci U S A
Georgiev D, Fernández-Galiana Á, Vilms Pedersen S, Papadopoulos G, Xie R, Stevens MM, Barahona M.   +6 more
europepmc   +1 more source

AI-Driven Hyperspectral Imaging in Clinical Medicine: A Critical Appraisal of Translational Readiness. [PDF]

Diagnostics (Basel)
Meeran ABM, Chowdhury MEH, Naznine M, Hamid Md Ali S, Sankaran R, Pedersen S.   +5 more
europepmc   +1 more source