mlsanityData to 14 Oct 2026

Hyperspectral Image Denoising Employing a Spatial-Spectral Deep Residual Convolutional Neural Network

arXiv 1806.00183 ↗First posted 1 Jun 2018cs.CVcited by 51

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Abstract (arXiv)

Hyperspectral image (HSI) denoising is a crucial preprocessing procedure to improve the performance of the subsequent HSI interpretation and applications. In this paper, a novel deep learning-based method for this task is proposed, by learning a non-linear end-to-end mapping between the noisy and clean HSIs with a combined spatial-spectral deep convolutional neural network (HSID-CNN). Both the spatial and spectral information are simultaneously assigned to the proposed network. In addition, multi-scale feature extraction and multi-level feature representation are respectively employed to capture both the multi-scale spatial-spectral feature and fuse the feature representations with different levels for the final restoration. The simulated and real-data experiments demonstrate that the proposed HSID-CNN outperforms many of the mainstream methods in both the quantitative evaluation indexes, visual effects, and HSI classification accuracy.

Key facts. Cited by 51 papers in the map (data through 14 Oct 2026). First posted on arXiv 1 Jun 2018.

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Citing papers per year: 2021: 8; 2022: 10; 2023: 14; 2024: 9; 2025: 9; 2026: 1.

51 papers.

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  1. 2022Low-Rank Tensor Function Representation for Multi-Dimensional Data Recoverycited by 46
  2. 2024Towards Vision-Language Geo-Foundation Model: A Surveycited by 36
  3. 2023Spectral Enhanced Rectangle Transformer for Hyperspectral Image Denoisingcited by 35
  4. 2021A Trainable Spectral-Spatial Sparse Coding Model for Hyperspectral Image Restorationcited by 34
  5. 2022Spatial-Spectral Transformer for Hyperspectral Image Denoisingcited by 34
  6. 2023DDS2M: Self-Supervised Denoising Diffusion Spatio-Spectral Model for Hyperspectral Image Restorationcited by 33
  7. 2022Deep Plug-and-Play Prior for Hyperspectral Image Restorationcited by 22
  8. 2023Pixel Adaptive Deep Unfolding Transformer for Hyperspectral Image Reconstructioncited by 20
  9. 2024SSUMamba: Spatial-Spectral Selective State Space Model for Hyperspectral Image Denoisingcited by 20
  10. 2023Hybrid Spectral Denoising Transformer with Guided Attentioncited by 16
  11. 2022Fast Noise Removal in Hyperspectral Images via Representative Coefficient Total Variationcited by 14
  12. 2024Revisiting Nonlocal Self-Similarity from Continuous Representationcited by 14
38 more
  1. 2021Hyperspectral Denoising Using Unsupervised Disentangled Spatio-Spectral Deep Priorscited by 12
  2. 2023Deep Learning Techniques for Hyperspectral Image Analysis in Agriculture: A Reviewcited by 12
  3. 2023Mixed Attention Network for Hyperspectral Image Denoisingcited by 8
  4. 2023A Comparison of Image Denoising Methodscited by 7
  5. 2024HSIDMamba: Exploring Bidirectional State-Space Models for Hyperspectral Denoisingcited by 7
  6. 2024PromptHSI: Universal Hyperspectral Image Restoration with Vision-Language Modulated Frequency Adaptationcited by 7
  7. 2021Nonlocal Patch-Based Fully-Connected Tensor Network Decomposition for Remote Sensing Image Inpaintingcited by 6
  8. 2023Hyperspectral Image Denoising via Spatial-Spectral Recurrent Transformercited by 6
  9. 2025MP-HSIR: A Multi-Prompt Framework for Universal Hyperspectral Image Restorationcited by 6
  10. 2023Deep Diversity-Enhanced Feature Representation of Hyperspectral Imagescited by 5
  11. 2023Degradation-Noise-Aware Deep Unfolding Transformer for Hyperspectral Image Denoisingcited by 5
  12. 2022Connections between Deep Equilibrium and Sparse Representation Models with Application to Hyperspectral Image Denoisingcited by 4
  13. 2023Multi-scale Adaptive Fusion Network for Hyperspectral Image Denoisingcited by 4
  14. 2024Hipandas: Hyperspectral Image Joint Denoising and Super-Resolution by Image Fusion with the Panchromatic Imagecited by 4
  15. 2022HyDe: The First Open-Source, Python-Based, GPU-Accelerated Hyperspectral Denoising Packagecited by 3
  16. 2023H2TF for Hyperspectral Image Denoising: Where Hierarchical Nonlinear Transform Meets Hierarchical Matrix Factorizationcited by 3
  17. 2025The Moon's Many Faces: A Single Unified Transformer for Multimodal Lunar Reconstructioncited by 3
  18. 2025STAR-Net: An Interpretable Model-Aided Network for Remote Sensing Image Denoisingcited by 3
  19. 2021A Global Appearance and Local Coding Distortion based Fusion Framework for CNN based Filtering in Video Codingcited by 2
  20. 2022Low-Light Hyperspectral Image Enhancementcited by 2
  21. 2024Hybrid Spatial-spectral Neural Network for Hyperspectral Image Denoisingcited by 2
  22. 2025Iterative Low-rank Network for Hyperspectral Image Denoisingcited by 2
  23. 2021SSCAN: A Spatial-spectral Cross Attention Network for Hyperspectral Image Denoisingcited by 1
  24. 2025PCMamba: Physics-Informed Cross-Modal State Space Model for Dual-Camera Compressive Hyperspectral Imagingcited by 1
  25. 2025Degradation-Aware Metric Prompting for Hyperspectral Image Restorationcited by 1
  26. 2021Interpretable Hyperspectral AI: When Non-Convex Modeling meets Hyperspectral Remote Sensingcited by 0
  27. 2021Multi-modal and frequency-weighted tensor nuclear norm for hyperspectral image denoisingcited by 0
  28. 2021spectrai: A deep learning framework for spectral datacited by 0
  29. 2022Rank-Enhanced Low-Dimensional Convolution Set for Hyperspectral Image Denoisingcited by 0
  30. 2022Riesz-Quincunx-UNet Variational Auto-Encoder for Satellite Image Denoisingcited by 0
  31. 2022Improved Quasi-Recurrent Neural Network for Hyperspectral Image Denoisingcited by 0
  32. 2023HIDFlowNet: A Flow-Based Deep Network for Hyperspectral Image Denoisingcited by 0
  33. 2023Hyperspectral Image Denoising via Self-Modulating Convolutional Neural Networkscited by 0
  34. 2024Beyond the Visible: Jointly Attending to Spectral and Spatial Dimensions with HSI-Diffusion for the FINCH Spacecraftcited by 0
  35. 2024Orthogonal Constrained Minimization with Tensor ℓ2,p Regularization for HSI Denoising and Destripingcited by 0
  36. 2025A TRPCA-Inspired Deep Unfolding Network for Hyperspectral Image Denoising via Thresholded t-SVD and Top-K Sparse Transformercited by 0
  37. 2025Hybrid-Domain Synergistic Transformer for Hyperspectral Image Denoisingcited by 0
  38. 2025Deep Equilibrium Convolutional Sparse Coding for Hyperspectral Image Denoisingcited by 0

50 most cited of 51 All 51 (JSON)