All of Low-Rank and Sparse: A Recast Total Variation Approach to Hyperspectral Denoising - researchr publication related

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Haijin Zeng, Shaoguang Huang, Yongyong Chen, Hiep Luong, Wilfried Philips. All of Low-Rank and Sparse: A Recast Total Variation Approach to Hyperspectral Denoising. IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 16:7357-7373, 2023. [doi]

The following publications are possibly variants of this publication:

Hyperspectral Image Denoising Using Nonconvex Local Low-Rank and Sparse Separation With Spatial-Spectral Total Variation RegularizationChong Peng, Yang Liu, Kehan Kang, Yongyong Chen, Xinxing Wu, Andrew Cheng, Zhao Kang 0001, Chenglizhao Chen, Qiang Cheng. tgrs, 60:1-17, 2022. [doi]

Hyperspectral image denoising via global spatial-spectral total variation regularized nonconvex local low-rank tensor approximationHaijin Zeng, Xiaozhen Xie, Jifeng Ning. sigpro, 178:107805, 2021. [doi]

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