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home/Knowledge Base/CODES/Hyperspectral/l₀-l₁ Hybrid Total Variation Regularization and Its Applications on Hyperspectral Image Mixed Noise Removal and Compressed Sensing

l₀-l₁ Hybrid Total Variation Regularization and Its Applications on Hyperspectral Image Mixed Noise Removal and Compressed Sensing

March 9, 2021

l₀-l₁ Hybrid Total Variation Regularization and Its Applications on Hyperspectral Image Mixed Noise Removal and Compressed Sensing
M. Wang, Q. Wang, J. Chanussot and D. Hong

IEEE Transactions on Geoscience and Remote Sensing
doi: 10.1109/TGRS.2021.3055516

Tags:compressed sensingdenoisinghyperspectral
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1 .pdf 7.81 MB 2021_IEEE_TGRS_Minghua_denoising_HS
2 .zip 22.67 MB l0l1HTV
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  • CODES
    • Anomaly
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    • Classification of Hyperspectral Images
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    • Data fusion: hyperspectral + Lidar
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  Multigraph-Based Low-Rank Tensor Approximation for Hyperspectral Image Restoration

A Trainable Spectral-Spatial Sparse Coding Model for Hyperspectral Image Restoration  

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