HYPERSPECTRAL IMAGE DENOISING WITH CUBIC TOTAL VARIATION MODEL

44 citations as recorded by crossref.

1. Hyperspectral Image Denoising Via Texture-Preserved Total Variation Regularizer Y. Chen et al. 10.1109/TGRS.2023.3292518
2. A Complementary Spectral-Spatial Method for Hyperspectral Image Classification L. Shi et al. 10.1109/TGRS.2022.3180935
3. Satellite Multispectral and Hyperspectral Image De-Noising with Enhanced Adaptive Generalized Gaussian Distribution Threshold in the Wavelet Domain N. Golilarz et al. 10.3390/rs13010101
4. Hyperspectral Image Denoising Using Adaptive Weight Graph Total Variation Regularization and Low-Rank Matrix Recovery W. Cai et al. 10.1109/LGRS.2021.3113078
5. A survey on hyperspectral image restoration: from the view of low-rank tensor approximation N. Liu et al. 10.1007/s11432-022-3609-4
6. Hyperspectral Image Denoising via Noise-Adjusted Iterative Low-Rank Matrix Approximation W. He et al. 10.1109/JSTARS.2015.2398433
7. Hyperspectral Image Denoising with Composite Regularization Models A. Li et al. 10.1155/2016/6586032
8. Aperture-encoded snapshot hyperspectral imaging with a lensless camera T. Kim et al. 10.1063/5.0150797
9. Denoising of Hyperspectral Images Using Group Low-Rank Representation M. Wang et al. 10.1109/JSTARS.2016.2531178
10. Block-Gaussian-Mixture Priors for Hyperspectral Denoising and Inpainting A. Teodoro et al. 10.1109/TGRS.2020.3006757
11. Large-Scale Hyperspectral Image Restoration via a Superpixel Distributed Algorithm Based on Graph Signal Processing W. Cai et al. 10.1109/TGRS.2023.3242728
12. Hyperspectral Image Denoising With Weighted Nonlocal Low-Rank Model and Adaptive Total Variation Regularization Y. Chen et al. 10.1109/TGRS.2022.3214542
13. 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
14. A Novel 3D Anisotropic Total Variation Regularized Low Rank Method for Hyperspectral Image Mixed Denoising L. Sun et al. 10.3390/ijgi7100412
15. Row-Sparsity Spectral Unmixing via Total Variation J. Wang et al. 10.1109/JSTARS.2019.2950700
16. Image Restoration for Remote Sensing: Overview and toolbox B. Rasti et al. 10.1109/MGRS.2021.3121761
17. Hyperspectral Image Recovery Using Nonconvex Sparsity and Low-Rank Regularizations Y. Hu et al. 10.1109/TGRS.2019.2937901
18. Automatic Hyperspectral Image Restoration Using Sparse and Low-Rank Modeling B. Rasti et al. 10.1109/LGRS.2017.2764059
19. Dynamic Super-Pixel Normalization for Robust Hyperspectral Image Classification C. Wang et al. 10.1109/TGRS.2023.3242990
20. Methoden zur hyperspektralen Bildverarbeitung unter Einbezug von Nachbarschaftsinformation S. Bauer & F. Puente León 10.1515/teme-2019-0003
21. A Novel Tensor-Based Hyperspectral Image Restoration Method With Low-Rank Modeling in Gradient Domains P. Liu et al. 10.1109/JSTARS.2022.3228942
22. Attention-Based Octave Network for Hyperspectral Image Denoising Z. Kan et al. 10.1109/JSTARS.2021.3129622
23. Hyperspectral Image Denoising With Total Variation Regularization and Nonlocal Low-Rank Tensor Decomposition H. Zhang et al. 10.1109/TGRS.2019.2947333
24. A Non-Local Superpatch-Based Algorithm Exploiting Low Rank Prior for Restoration of Hyperspectral Images S. Sarkar & R. Sahay 10.1109/TIP.2021.3093780
25. Hyperspectral Image Denoising Using First Order Spectral Roughness Penalty in Wavelet Domain B. Rasti et al. 10.1109/JSTARS.2013.2272879
26. Structure Extraction With Total Variation for Hyperspectral Image Classification Q. Li et al. 10.1109/ACCESS.2019.2922675
27. Poissonian Blurred Hyperspectral Imagery Denoising Based on Variable Splitting and Penalty Technique P. Wang et al. 10.1109/TGRS.2023.3254505
28. Denoising of Hyperspectral Image Using Low-Rank Matrix Factorization F. Xu et al. 10.1109/LGRS.2017.2700406
29. Total Variation Regularized Low-Rank Model With Directional Information for Hyperspectral Image Restoration X. Fei et al. 10.1109/ACCESS.2021.3087916
30. 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
31. A Novel Weighted Cross Total Variation Method for Hyperspectral Image Mixed Denoising L. Sun et al. 10.1109/ACCESS.2017.2768580
32. A Novel Robust Principal Component Analysis Algorithm of Nonconvex Rank Approximation E. Zhu et al. 10.1155/2020/9356935
33. Wavelet-Based Sparse Reduced-Rank Regression for Hyperspectral Image Restoration B. Rasti et al. 10.1109/TGRS.2014.2301415
34. Spectral–Spatial Sparse Subspace Clustering for Hyperspectral Remote Sensing Images H. Zhang et al. 10.1109/TGRS.2016.2524557
35. Spatial–Spectral Attention Pyramid Network for Hyperspectral Stripe Restoration L. Chen et al. 10.1109/TGRS.2023.3342189
36. TNNG: Total Nuclear Norms of Gradients for Hyperspectral Image Prior R. Yuzuriha et al. 10.3390/rs13040819
37. Bayesian framework selection for hyperspectral image denoising T. Bahraini et al. 10.1016/j.sigpro.2022.108712
38. Mixed Noise Removal for Hyperspectral Image With ${l_{0}}$-${l_{1 - 2}}$SSTV Regularization L. Zhang et al. 10.1109/JSTARS.2022.3185657
39. Hyperspectral Image Denoising Using SURE-Based Unsupervised Convolutional Neural Networks H. Nguyen et al. 10.1109/TGRS.2020.3008844
40. Hyperspectral image denoising by low-rank models with hyper-Laplacian total variation prior S. Xu et al. 10.1016/j.sigpro.2022.108733
41. Noise Reduction in Hyperspectral Imagery: Overview and Application B. Rasti et al. 10.3390/rs10030482
42. Total-Variation-Regularized Low-Rank Matrix Factorization for Hyperspectral Image Restoration W. He et al. 10.1109/TGRS.2015.2452812
43. Spectral-spatial 3D dynamic trimmed median filter for removal of impulse noise in remotely sensed images S. Das & S. Chakravortty 10.1007/s11042-022-13965-y
44. Deep Tensor Attention Prior Network for Hyperspectral Image Denoising W. Shen et al. 10.1109/JSTARS.2023.3294619