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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التفاصيل البيبلوغرافية

الحاوية / القاعدة:	Journal of the European Optical Society-Rapid Publications
المؤلفون الرئيسيون:	Zhou Bing, Deng Lei, Ying Jiaju, Wang Qianghui, Cheng Yue
التنسيق:	مقال
اللغة:	الإنجليزية
منشور في:	EDP Sciences 2025-01-01
الموضوعات:	hyperspectral image dimensionality reduction minimum noise fraction (mnf) spatial-spectral preservation
الوصول للمادة أونلاين:	https://jeos.edpsciences.org/articles/jeos/full_html/2025/02/jeos20250029/jeos20250029.html