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Cluster-Wise Weighted NMF for Hyperspectral Images Unmixing with Imbalanced Data

Hyperspectral unmixing is an important technique for analyzing remote sensing images which aims to obtain a collection of endmembers and their corresponding abundances. In recent years, non-negative matrix factorization (NMF) has received extensive attention due to its good adaptability for mixed da...

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Hlavní autoři: Xiaochen Lv, Wenhong Wang, Hongfu Liu
Médium: Artigo
Jazyk:Inglês
Vydáno: MDPI AG 2021-01-01
Edice:Remote Sensing
Témata:
hyperspectral unmixing
non-negative matrix factorization
imbalanced data
On-line přístup:https://www.mdpi.com/2072-4292/13/2/268
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