A pre-training enhanced deep learning framework for robust sparse unmixing in chemical imaging

Chemical imaging techniques, such as hyperspectral and Raman imaging, provide spatially resolved spectral insights for non-destructive analysis of complex mixtures. However, accurately decomposing mixed pixel spectra into constituent components remains challenging due to spectral overlaps and variab...

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Vydané v:	Analytica chimica acta Ročník 1374; s. 344524
Hlavní autori:	Wang, Yue, Liu, Anqi, Tan, Lin, Sun, Jinyu, Zhang, Hailiang, Xie, Ting, Zhang, Zhimin, Lu, Hongmei
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Netherlands Elsevier B.V 08.11.2025
Predmet:	Deep learning Hyperspectral imaging Pre-training Raman imaging Sparse unmixing Deep learning Pre-training Sparse unmixing Raman imaging Hyperspectral imaging
ISSN:	0003-2670, 1873-4324, 1873-4324
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