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...

Deskribapen osoa

Xehetasun bibliografikoak

Egile Nagusiak:	Kewen Qu, Zhenqing Li, Xiaojuan Luo, Wenxing Bao, Fangzhou Luo
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	IEEE 2024-01-01
Saila:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Gaiak:	Hyperspectral unmixing (HU) low-rank nonnegative tensor factorization (NTF) multiple-factor collaboration unidirectional total variation (UTV)
Sarrera elektronikoa:	https://ieeexplore.ieee.org/document/10506978/
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!