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Adaptive Hyperspectral Mixed Noise Removal
IEEE Transactions on Geoscience and Remote Sensing, 2022This article proposes a new denoising method for hyperspectral images (HSIs) corrupted by mixtures (in a statistical sense) of stripe noise, Gaussian noise, and impulsive noise. The proposed method has three distinctive features: 1) it exploits the intrinsic characteristics of HSIs, namely, low-rank and self-similarity; 2) the observation noise is ...
Tai-Xiang Jiang +4 more
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Jet mixing noise from fine-scale turbulence
AIAA Journal, 1998It is known that turhulent mixing noise from high-speed jets consists of two components. They are the noise from large turbulent structures in the form of Mach wave radiation and the less directional fine-scale turbulence noise. The Mach wave radiation dominates in the downstream direction.
Christopher Tam, Laurent Auriault
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Adaptive Hyperspectral Mixed Noise Removal
IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018This paper proposes a new denoising method for hyperspectral images (HSIs) corrupted by mixtures (in a statistical sense) of stripe noise, Gaussian noise, and impulsive noise. The proposed method has three distinctive features: 1) it exploits the intrinsic characteristics of HSIs, namely, low-rank and self-similarity; 2) the observation noise is ...
Tai-Xiang Jiang +3 more
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Edge preserving mixed noise removal
Multimedia Tools and Applications, 2018To faithfully recover the clean images corrupted by additive white Gaussian noise (AWGN) and impulse noise (IN), a novel edge preserving image denoising algorithm is proposed. The low- and high-frequency components of the image are restored separately.
Fenghua Guo, Caiming Zhang
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