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

open access: yesIEEE 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   +6 more
doaj   +1 more source

The Spatial LASSO With Applications to Unmixing Hyperspectral Biomedical Images

open access: green, 2014
Daniel V. Samarov   +2 more
openalex   +1 more source

Model-Based Deep Autoencoder Networks for Nonlinear Hyperspectral Unmixing [PDF]

open access: green, 2021
Haoqing Li   +5 more
openalex   +1 more source

Contributions to Hyperspectral Unmixing

open access: yes
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

Endmember-Guided Unmixing Network (EGU-Net): A General Deep Learning Framework for Self-Supervised Hyperspectral Unmixing [PDF]

open access: green, 2021
Danfeng Hong   +6 more
openalex   +1 more source

Ground Truth Simulation for Deep Learning Classification of Mid-Resolution Venus Images Via Unmixing of High-Resolution Hyperspectral Fenix Data [PDF]

open access: green, 2019
Ido Faran   +6 more
openalex   +1 more source

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