Intracluster Structured Low-Rank Matrix Analysis Method for Hyperspectral Denoising.

IEEE Transactions on Geoscience and Remote Sensing(2019)

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摘要
Hyperspectral images (HSIs) denoising aims at eliminating the noise generated during the acquisition and transmission of HSIs. Since denoising is an ill-posed problem, utilizing proper knowledge of HSIs as regularization is essential for a good denoiser. Many HSI denoising methods have been proposed to leverage various prior knowledge, e.g., total variation, sparsity, and so on. Among those knowle...
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关键词
Noise reduction,Matrix decomposition,Periodic structures,Sparse matrices,Hyperspectral imaging,Correlation,Adaptation models
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