Parameter Optimization for Low-Rank Matrix Recovery in Hyperspectral Imaging

Parameter Optimization for Low-Rank Matrix Recovery in Hyperspectral Imaging

An approach to parameter optimization for the low-rank matrix recovery method in hyperspectral imaging is discussed. We formulate an optimization problem with respect to the initial parameters of the low-rank matrix recovery method. The performance for different parameter settings is compared in ter...

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Bibliographic Details
Main Author: Monika Wolfmayr
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Applied Sciences
Subjects:
noise reduction
nonlinear optimization
low-rank modeling
hyperspectral imaging
signal-to-noise ratio improvement
Online Access:https://www.mdpi.com/2076-3417/13/16/9373

Internet

https://www.mdpi.com/2076-3417/13/16/9373

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