Hyperspectral Image Denoising via Sparse Representation and Low-Rank Constraint

Hyperspectral image (HSI) denoising is an essential preprocess step to improve the performance of subsequent applications. For HSI, there is much global and local redundancy and correlation (RAC) in spatial/spectral dimensions. In addition, denoising performance can be improved greatly if RAC is uti...

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Veröffentlicht in:	IEEE transactions on geoscience and remote sensing 2015-01, Vol.53 (1), p.296-308
Hauptverfasser:	Zhao, Yong-Qiang, Yang, Jingxiang
Format:	Artikel
Sprache:	eng
Schlagworte:	Approximation Dictionaries Distortion Encoding Global redundancy and correlation (RAC) hyperspectral image (HSI) denoising Indexes local RAC low rank Noise Noise measurement Noise reduction Performance enhancement Representations sparse representation Spectra Spectral analysis
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