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Hyperspectral Unmixing Using Reweighted Unidirectional TV Low-Rank NTF With Multiple-Factor Collaboration Regularization

The purpose of hyperspectral unmixing (HU) is to extract the spectral signatures and their proportion fractions from the hyperspectral remote sensing image (HSIs), which is a crucial issue in HSIs processing. Recently, nonnegative tensor factorization (NTF) has been successfully applied in the field...

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主要な著者: Kewen Qu, Zhenqing Li, Xiaojuan Luo, Wenxing Bao, Fangzhou Luo
フォーマット: Artigo
言語:Inglês
出版事項: IEEE 2024-01-01
シリーズ:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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オンライン・アクセス:https://ieeexplore.ieee.org/document/10506978/
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