Spectral Denoising is a signal processing technique that belongs to the class of spectral data enhancement methods, specifically designed to remove noise from spectral signals while preserving intrinsic spectral features and structure.
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Multispectral Images Denoising by Intrinsic Tensor Sparsity Regularization
Qi Xie, Qian Zhao, Deyu Meng et al. · 2016 · 255 citations · Full text
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- VKVladimir Katkovnik
3 publications · 73 citations
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3 publications · 73 citations
3
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Centre National de la Recherche Scientifique
Paris, France
7 h-index
16 publications
951 citations
Chinese Academy of Sciences
Beijing, China
7 h-index
31 publications
1.1K citations
University of Chinese Academy of Sciences
Beijing, China
5 h-index
18 publications
501 citations
Shanghai Jiao Tong University
Shanghai, China
4 h-index
5 publications
101 citations
Xiamen University
Xiamen, China
3 h-index
20 publications
500 citations
University of Wisconsin–Madison
Madison, United States
3 h-index
8 publications
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Central China Normal University
Wuhan, China
3 h-index
9 publications
690 citations
Harvard University
Cambridge, United States
3 h-index
8 publications
215 citations
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- Applied Spectroscopy
9 publications · 310 citations
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MRM · 4 publications · 223 citations
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- IEEE Transactions on Geoscience and Remote Sensing
5 publications · 405 citations
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- Remote Sensing
4 publications · 190 citations
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- Analytica Chimica Acta
4 publications · 133 citations
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