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Hyperspectral Nonlinear Unmixing by Using Plug-and-Play Prior for Abundance Maps

Spectral unmixing (SU) aims at decomposing the mixed pixel into basic components, called endmembers with corresponding abundance fractions. Linear mixing model (LMM) and nonlinear mixing models (NLMMs) are two main classes to solve the SU. This paper proposes a new nonlinear unmixing method base on...

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Principais autores: Zhicheng Wang, Lina Zhuang, Lianru Gao, Andrea Marinoni, Bing Zhang, Michael K. Ng
פורמט: Artigo
שפה:Inglês
יצא לאור: MDPI AG 2020-12-01
סדרה:Remote Sensing
נושאים:
hyperspectral imagery
plug-and-play
denoising
nonlinear unmixing
גישה מקוונת:https://www.mdpi.com/2072-4292/12/24/4117
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