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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書誌詳細

出版年:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
主要な著者:	Kewen Qu, Zhenqing Li, Xiaojuan Luo, Wenxing Bao, Fangzhou Luo
フォーマット:	論文
言語:	英語
出版事項:	IEEE 2024-01-01
主題:	Hyperspectral unmixing (HU) low-rank nonnegative tensor factorization (NTF) multiple-factor collaboration unidirectional total variation (UTV)
オンライン･アクセス:	https://ieeexplore.ieee.org/document/10506978/