Dimensionality reduction method based on spatial-spectral preservation and minimum noise fraction for hyperspectral images

Hyperspectral images contain rich spatial distribution and spectral information of land features, but they also introduce high information redundancy and computational complexity. This paper proposes dimensionality reduction methods that integrate spatial-spectral preservation and minimum noise frac...

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Auteurs principaux:	Zhou Bing, Deng Lei, Ying Jiaju, Wang Qianghui, Cheng Yue
Format:	Artigo
Langue:	Inglês
Publié:	EDP Sciences 2025-01-01
Collection:	Journal of the European Optical Society-Rapid Publications
Sujets:	hyperspectral image dimensionality reduction minimum noise fraction (mnf) spatial-spectral preservation
Accès en ligne:	https://jeos.edpsciences.org/articles/jeos/full_html/2025/02/jeos20250029/jeos20250029.html
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