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Hyperspectral pansharpening: a review

arXiv 1504.04531 ↗First posted 17 Apr 2015cs.CV physics.data-an stat.APcited by 55

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Abstract (arXiv)

Pansharpening aims at fusing a panchromatic image with a multispectral one, to generate an image with the high spatial resolution of the former and the high spectral resolution of the latter. In the last decade, many algorithms have been presented in the literature for pansharpening using multispectral data. With the increasing availability of hyperspectral systems, these methods are now being adapted to hyperspectral images. In this work, we compare new pansharpening techniques designed for hyperspectral data with some of the state of the art methods for multispectral pansharpening, which have been adapted for hyperspectral data. Eleven methods from different classes (component substitution, multiresolution analysis, hybrid, Bayesian and matrix factorization) are analyzed. These methods are applied to three datasets and their effectiveness and robustness are evaluated with widely used performance indicators. In addition, all the pansharpening techniques considered in this paper have been implemented in a MATLAB toolbox that is made available to the community.

Key facts. Cited by 55 papers in the map (data through 7 Oct 2026). First posted on arXiv 17 Apr 2015.

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Citing papers per year: 2021: 9; 2022: 8; 2023: 11; 2024: 10; 2025: 12; 2026: 5.

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  1. 2022Deep Learning in Multimodal Remote Sensing Data Fusion: A Comprehensive Reviewcited by 73
  2. 2022HyperTransformer: A Textural and Spectral Feature Fusion Transformer for Pansharpeningcited by 32
  3. 2023ESSAformer: Efficient Transformer for Hyperspectral Image Super-resolutioncited by 23
  4. 2023Unsupervised Hyperspectral Pansharpening via Low-rank Diffusion Modelcited by 19
  5. 2022Decoupled-and-Coupled Networks: Self-Supervised Hyperspectral Image Super-Resolution with Subpixel Fusioncited by 18
  6. 2021Fast and High-Quality Blind Multi-Spectral Image Pansharpeningcited by 13
  7. 2023Superpixel-based and Spatially-regularized Diffusion Learning for Unsupervised Hyperspectral Image Clusteringcited by 13
  8. 2021Hyperspectral Pansharpening Based on Improved Deep Image Prior and Residual Reconstructioncited by 12
  9. 2021Model Inspired Autoencoder for Unsupervised Hyperspectral Image Super-Resolutioncited by 10
  10. 2022Tensor Decompositions for Hyperspectral Data Processing in Remote Sensing: A Comprehensive Reviewcited by 9
  11. 2023A Spectral Diffusion Prior for Hyperspectral Image Super-Resolutioncited by 8
  12. 2024Hyperspectral and multispectral image fusion with arbitrary resolution through self-supervised representationscited by 8
38 more
  1. 2024Hyperspectral Pansharpening: Critical Review, Tools and Future Perspectivescited by 8
  2. 2024A Refreshed Similarity-based Upsampler for Direct High-Ratio Feature Upsamplingcited by 7
  3. 2025Advancing Image Super-resolution Techniques in Remote Sensing: A Comprehensive Surveycited by 7
  4. 2022Hyperspectral Image Denoising Using Non-convex Local Low-rank and Sparse Separation with Spatial-Spectral Total Variation Regularizationcited by 5
  5. 2023Hyperspectral Image Super-Resolution via Dual-domain Network Based on Hybrid Convolutioncited by 5
  6. 2023Band-wise Hyperspectral Image Pansharpening using CNN Model Propagationcited by 5
  7. 2024Joint RGB-Spectral Decomposition Model Guided Image Enhancement in Mobile Photographycited by 5
  8. 2024U-Know-DiffPAN: An Uncertainty-aware Knowledge Distillation Diffusion Framework with Details Enhancement for PAN-Sharpeningcited by 5
  9. 2025Towards Lightweight Hyperspectral Image Super-Resolution with Depthwise Separable Dilated Convolutional Networkcited by 5
  10. 2022A Review of Landcover Classification with Very-High Resolution Remotely Sensed Optical Images-Analysis Unit,Model Scalability and Transferabilitycited by 4
  11. 2023Hyperspectral and Multispectral Image Fusion Using the Conditional Denoising Diffusion Probabilistic Modelcited by 4
  12. 2022CD-GAN: a robust fusion-based generative adversarial network for unsupervised remote sensing change detection with heterogeneous sensorscited by 3
  13. 2024Unsupervised Hyperspectral and Multispectral Image Blind Fusion Based on Deep Tucker Decomposition Network with Spatial-Spectral Manifold Learningcited by 3
  14. 2025PAN-Crafter: Learning Modality-Consistent Alignment for PAN-Sharpeningcited by 3
  15. 2021Feedback Refined Local-Global Network for Super-Resolution of Hyperspectral Imagerycited by 1
  16. 2021Hyperspectral Image Super-Resolution in Arbitrary Input-Output Band Settingscited by 1
  17. 2021From Less to More: Spectral Splitting and Aggregation Network for Hyperspectral Face Super-Resolutioncited by 1
  18. 2022Robust Hyperspectral Image Fusion with Simultaneous Guide Image Denoising via Constrained Convex Optimizationcited by 1
  19. 2023Spectral 3D Computer Vision -- A Reviewcited by 1
  20. 2024Real HSI-MSI-PAN image dataset for the hyperspectral/multi-spectral/panchromatic image fusion and super-resolution fieldscited by 1
  21. 2025Zero-Shot Hyperspectral Pansharpening Using Hysteresis-Based Tuning for Spectral Quality Controlcited by 1
  22. 2025Bayesian Fully-Connected Tensor Network for Hyperspectral-Multispectral Image Fusioncited by 1
  23. 2025Rethinking Coupled Tensor Analysis for Hyperspectral Super-Resolution: Recoverable Modeling Under Endmember Variabilitycited by 1
  24. 2026ASSR-Net: Anisotropic Structure-Aware and Spectrally Recalibrated Network for Hyperspectral Image Fusioncited by 1
  25. 2021Hyperspectral Image Super-Resolution with Spectral Mixup and Heterogeneous Datasetscited by 0
  26. 2021Learning deep multiresolution representations for pansharpeningcited by 0
  27. 2021Interpretable Hyperspectral AI: When Non-Convex Modeling meets Hyperspectral Remote Sensingcited by 0
  28. 2023Data fusion of satellite imagery for generation of daily cloud free images at high resolution levelcited by 0
  29. 2023Blind deblurring of hyperspectral document imagescited by 0
  30. 2023Unsupervised Hyperspectral and Multispectral Images Fusion Based on the Cycle Consistencycited by 0
  31. 2024Enhancing Sentinel-2 Image Resolution: Evaluating Advanced Techniques based on Convolutional and Generative Neural Networkscited by 0
  32. 2024Low-cost Robust Night-time Aerial Material Segmentation through Hyperspectral Data and Sparse Spatio-Temporal Learningcited by 0
  33. 2024A Data-Driven Review of Remote Sensing-Based Data Fusion in Precision Agriculture from Foundational to Transformer-Based Techniquescited by 0
  34. 2025Enhancing DeepLabV3+ to Fuse Aerial and Satellite Images for Semantic Segmentationcited by 0
  35. 2025DiffFuSR: Super-Resolution of all Sentinel-2 Multispectral Bands using Diffusion Modelscited by 0
  36. 2025Progressive Alignment Degradation Learning for Pansharpeningcited by 0
  37. 2025THAT: Token-wise High-frequency Augmentation Transformer for Hyperspectral Pansharpeningcited by 0
  38. 2025SatFusion: A Unified Framework for Enhancing Remote Sensing Images via Multi-Frame and Multi-Source Images Fusioncited by 0

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