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• W4313151913 abstract "Hyperspectral image mixed denoising is a challenging task in the fields of remote sensing, environmental monitoring, mineral exploration, etc. A crucial difficulty is to acquire clean restoration from hyperspectral image (HSI) that encounters Gaussian noise, impulse noise, strip noise and deadlines. In the previous works, combining global information and nonlocal information is a popular way to learn the comprehensive characteristics of the clean HSI. However, the advantages of 2D spatial structure similarity and spectral low-rankness may not be fully exploited at the same time in global prior learning. The iterative update between global restoration and nonlocal restoration may cause high time consumption and certain loss of information. To address these issues, we propose a three-stage mixed denoising model based on novel hybrid low-rank tensor approximation and global-guided-nonlocal prior mechanism (HLTA-GN). Firstly, to learn a good global prior, hybrid low-rank tensor approximation incorporated with a useful nonconvex tensor rank estimation is presented to balance 2D spatial similarity and spectral low-rankness. Secondly, to learn a high-quality nonlocal prior, global-guided-nonlocal prior mechanism is proposed to help nonlocal restoration suppress the residual noise. At the same time, a regularized sequential low-rank tensor approximation is proposed to enhance the robustness to noisy patch groups. Thirdly, a weighted fusion on global prior and nonlocal prior helps to further balance global denoising and patch processing. An efficient learning algorithm is provided to solve HLTA-GN. Abundant experiments are conducted on various HSIs with several scenarios. The experimental results demonstrate the superiority of HLTA-GN." @default.
• W4313151913 created "2023-01-06" @default.
• W4313151913 creator A5033023635 @default.
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• W4313151913 date "2022-01-01" @default.
• W4313151913 modified "2023-10-16" @default.
• W4313151913 title "Novel Hybrid Low-Rank Tensor Approximation for Hyperspectral Image Mixed Denoising Based on Global-Guided-Nonlocal Prior Mechanism" @default.
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• W4313151913 doi "https://doi.org/10.1109/tgrs.2022.3217051" @default.
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