HYPERSPECTRAL IMAGE DENOISING WITH CUBIC TOTAL VARIATION MODEL

29 citations as recorded by crossref.

1. Hyperspectral Image Denoising With Total Variation Regularization and Nonlocal Low-Rank Tensor Decomposition H. Zhang et al. 10.1109/TGRS.2019.2947333
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6. Total Variation Regularized Low-Rank Model With Directional Information for Hyperspectral Image Restoration X. Fei et al. 10.1109/ACCESS.2021.3087916
7. Advances in Hyperspectral Image and Signal Processing: A Comprehensive Overview of the State of the Art P. Ghamisi et al. 10.1109/MGRS.2017.2762087
8. A Novel Weighted Cross Total Variation Method for Hyperspectral Image Mixed Denoising L. Sun et al. 10.1109/ACCESS.2017.2768580
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10. Hyperspectral Image Denoising Using Adaptive Weight Graph Total Variation Regularization and Low-Rank Matrix Recovery W. Cai et al. 10.1109/LGRS.2021.3113078
11. Hyperspectral Image Denoising via Noise-Adjusted Iterative Low-Rank Matrix Approximation W. He et al. 10.1109/JSTARS.2015.2398433
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13. A Novel Robust Principal Component Analysis Algorithm of Nonconvex Rank Approximation E. Zhu et al. 10.1155/2020/9356935
14. Wavelet-Based Sparse Reduced-Rank Regression for Hyperspectral Image Restoration B. Rasti et al. 10.1109/TGRS.2014.2301415
15. Spectral–Spatial Sparse Subspace Clustering for Hyperspectral Remote Sensing Images H. Zhang et al. 10.1109/TGRS.2016.2524557
16. Denoising of Hyperspectral Images Using Group Low-Rank Representation M. Wang et al. 10.1109/JSTARS.2016.2531178
17. Block-Gaussian-Mixture Priors for Hyperspectral Denoising and Inpainting A. Teodoro et al. 10.1109/TGRS.2020.3006757
18. TNNG: Total Nuclear Norms of Gradients for Hyperspectral Image Prior R. Yuzuriha et al. 10.3390/rs13040819
19. Moreau-Enhanced Total Variation and Subspace Factorization for Hyperspectral Denoising Y. Yang et al. 10.3390/rs12020212
20. Hyperspectral image restoration by subspace representation with low‐rank constraint and spatial‐spectral total variation J. Ye & X. Zhang 10.1049/iet-ipr.2019.0803
21. A Novel 3D Anisotropic Total Variation Regularized Low Rank Method for Hyperspectral Image Mixed Denoising L. Sun et al. 10.3390/ijgi7100412
22. Hyperspectral Image Denoising Using SURE-Based Unsupervised Convolutional Neural Networks H. Nguyen et al. 10.1109/TGRS.2020.3008844
23. Row-Sparsity Spectral Unmixing via Total Variation J. Wang et al. 10.1109/JSTARS.2019.2950700
24. Hyperspectral Image Recovery Using Nonconvex Sparsity and Low-Rank Regularizations Y. Hu et al. 10.1109/TGRS.2019.2937901
25. Automatic Hyperspectral Image Restoration Using Sparse and Low-Rank Modeling B. Rasti et al. 10.1109/LGRS.2017.2764059
26. Noise Reduction in Hyperspectral Imagery: Overview and Application B. Rasti et al. 10.3390/rs10030482
27. Total-Variation-Regularized Low-Rank Matrix Factorization for Hyperspectral Image Restoration W. He et al. 10.1109/TGRS.2015.2452812
28. Methoden zur hyperspektralen Bildverarbeitung unter Einbezug von Nachbarschaftsinformation S. Bauer & F. Puente León 10.1515/teme-2019-0003
29. Attention-Based Octave Network for Hyperspectral Image Denoising Z. Kan et al. 10.1109/JSTARS.2021.3129622