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Research Letter

Bayesian fusion of multispectral and panchromatic images using a multi-mode and multiorder gradient tensor-based l1/2 sparse model

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Pages 490-500 | Received 19 Oct 2023, Accepted 26 Mar 2024, Published online: 26 Apr 2024

References

  • Alparone, L., B. Aiazzi, S. Baronti, A. Garzelli, F. Nencini, and M. Selva. 2008. “Multispectral and Panchromatic Data Fusion Assessment without Reference.” Photogrammetric Engineering and Remote Sensing 74 (2): 193–200. https://doi.org/10.14358/PERS.74.2.193.
  • Alparone, L., S. Baronti, A. Garzelli, and F. Nencini. 2004. “A Global Quality Measurement of Pan-Sharpened Multispectral Imagery.” Geoscience and Remote Sensing Letters, IEEE 1 (4): 313–317. https://doi.org/10.1109/LGRS.2004.836784.
  • Ballester, C., V. Caselles, L. Igual, and J. Verdera. 2006. “A variational model for P+XS image fusion.” International Journal of Computer Vision 69 (1): 43–58. https://doi.org/10.1007/s11263-006-6852-x.
  • Chen, C., Y. Li, W. Liu, and J. Huang. 2014. “Image Fusion with Local Spectral Consistency and Dynamic Gradient Sparsity.” in IEEE International Conference on Computer Vision Pattern Recognition., Columbus, USA, 2760–2765.
  • Deng, L., 2022. “Machine Learning in Pansharpening: A Benchmark, from Shallow to Deep Networks.” IEEE Geoscience and Remote Magazine 10 (3): 279–315. https://doi.org/10.1109/MGRS.2022.3187652.
  • Deng, L., M. Feng, and X. C. Tai. 2019. “The Fusion of Panchromatic and Multispectral Remote Sensing Images via Tensor-Based Sparse Modeling and Hyper-Laplacian Prior.” Information Fusion 52:76–89. https://doi.org/10.1016/j.inffus.2018.11.014.
  • Dong, R., L. Zhang, W. Li, S. Yuan, L. Gan, J. Zheng, H. Fu, et al. 2023. “An Adaptive Image Fusion Method for Sentinel-2 Images and High-Resolution Images with Long-Time Intervals.” International Journal of Applied Earth Observation and Geoinformation 121:1–13. https://doi.org/10.1016/j.jag.2023.103381.
  • Duran, J., A. Buades, B. Coll, and C. Sbert. 2014. “A Nonlocal Variational Model for Pansharpening Image Fusion.” SIAM journal on imaging sciences 7 (2): 761–796. https://doi.org/10.1137/130928625.
  • Duran, J., A. Buades, B. Coll, C. Sbert, and G. Blanchet. 2017. “A Survey of Pansharpening Methods with a New Band-Decoupled Variational Model.” ISPRS Journal of Photogrammetry and Remote Sensing 125:78–105. https://doi.org/10.1016/j.isprsjprs.2016.12.013.
  • Fu, X., Z. Lin, Y. Huang, and X. Ding. 2019. “A Variational Pansharpening with Local Gradient Constraints.” in Proceedings of IEEE International Conference on Computer Vision Pattern Recognition, California, USA, 10265–10274.
  • Jiang, Y., X. Ding, D. Zeng, Y. Huang, and J. Paisley. 2015. “Pan-Sharpening with a Hyper-Laplacian Penalty.” in Proceedings of IEEE International Conference on Computer Vision, Santiago, Chile, 540–548.
  • Palsson, F., J. R. Sveinsson, and M. O. Ulfarsson. 2014. “A New Pansharpening Algorithm Based on Total Variation.” Geoscience and Remote Sensing Letters, IEEE 11 (1): 318–322. https://doi.org/10.1109/LGRS.2013.2257669.
  • Tian, X., Y. Chen, C. Yang, and J. Ma. 2022. “Variational Pansharpening by Exploiting Cartoon-Texture Similarities.” IEEE Transactions on Geoscience and Remote Sensing: A Publication of the IEEE Geoscience and Remote Sensing Society 60:1–16. https://doi.org/10.1109/TGRS.2020.3048257.
  • Vivone, G., M. Dalla Mura, A. Garzelli, R. Restaino, G. Scarpa, M. O. Ulfarsson, L. Alparone, et al. 2021. “A New Benchmark Based on Recent Advances in Multispectral Pansharpening: Revisiting Pansharpening with Classical and Emerging Pansharpening Methods.” IEEE Geoscience and remote sensing magazine 9 (1): 53–81. https://doi.org/10.1109/MGRS.2020.3019315.
  • Wald, L., T. Ranchin, and M. Mangolini. 1997. “Fusion of Satellite Images of Different Spatial Resolutions: Assessing the Quality of Resulting Images.” Photogrammetric Engineering and Remote Sens 63 (6): 691–699.
  • Xiao, J., 2022. “A New Context-Aware Details Injection Fidelity with Adaptive Coefficients Estimation for Variational Pansharpening.” IEEE Transactions on Geoscience and Remote Sensing: A Publication of the IEEE Geoscience and Remote Sensing Society 60:1–15. https://doi.org/10.1109/TGRS.2022.3157870.
  • Zeng, D., Y. Hu, Y. Huang, Z. Xu, and X. Ding. 2016. “Pan-Sharpening with Structural Consistency and l1/2 Gradient Prior.” Remote Sensing Letters 7 (12): 1170–1179. https://doi.org/10.1080/2150704X.2016.1222098.
  • Zhang, K., F. Zhang, W. Wan, H. Yu, J. Sun, J. Del Ser, E. Elyan, et al. 2023. “Panchromatic and Multispectral Image Fusion for Remote Sensing and Earth Observation: Concepts, Taxonomy, Literature Review, Evaluation Methodologies and Challenges Ahead.” Information Fusion 93:227–242. https://doi.org/10.1016/j.inffus.2022.12.026.
  • Zuo, W., D. Meng, L. Zhang, X. Feng, and D. Zhang. 2013. “A Generalized Iterated Shrinkage Algorithm for Non-Convex Sparse Coding.” in Proceedings of IEEE International Conference on Computer Vision, Sydney, Australia, 217–224.

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