Endmember Independence and Bilateral Filtering Regularizations for Blind Hyperspectral Unmixing

Hyperspectral unmixing (HU) aims to decompose the mixed pixels of a hyperspectral image into endmembers weighted by their corresponding abundances. Recently, matrix–vector nonnegative tensor factorization (MV-NTF) has been successfully applied to HU, primarily due to its ability to effect...

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發表在:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Main Authors:	Yang Hu, Lei Sun, Ziyang Zhang, Feng Xie
格式:	Article
語言:	英语
出版:	IEEE 2025-01-01
主題:	Bilateral filtering (BF) hyperspectral unmixing (HU) nonnegative tensor factorization (NTF) endmember independence (EI)
在線閱讀:	https://ieeexplore.ieee.org/document/11147175/