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High-resolution (HR) remote sensing imagery plays a vital role in a wide range of applications, including urban planning and environmental monitoring.
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X. Dong, L. Wang, X. Sun, X. Jia, L. Gao, and B. Zhang, “Remote sensing image super-resolution using second-order multi-scale networks,”
2020
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2020
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2020
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2020
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2021
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S. Lei and Z. Shi, “Hybrid-scale self-similarity exploitation for remote sensing image super-resolution,”
2021
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C. Riquelme, J. Puigcerver, B. Mustafa, M. Neumann, R. Jenatton, A. Susano Pinto, D. Keysers, and N. Houlsby, “Scaling vision with sparse mixture of experts,”
2021
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2023
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2024
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2024
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2024
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2024
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2024
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2024
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2024
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2024
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2024
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2024
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2024
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2024
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2024
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H. Sun, W. Li, J. Liu, H. Chen, R. Pei, X. Zou, Y. Yan, and Y. Yang, “Coser: Bridging image and language for cognitive super-resolution,” in
2024
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2025
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H. Zhang, K. Chen, C. Liu, H. Chen, Z. Zou, and Z. Shi, “Cdmamba: Incorporating local clues into mamba for remote sensing image binary change detection,”
2025
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Y. Xiao, Q. Yuan, K. Jiang, Y. Chen, Q. Zhang, and C.-W. Lin, “Frequency-assisted mamba for remote sensing image super-resolution,”
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B. Chen, K. Chen, M. Yang, Z. Zou, and Z. Shi, “Heterogeneous mixture of experts for remote sensing image super-resolution,”
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C. Zhu, Y. Liu, S. Huang, and F. Wang, “Taming a diffusion model to revitalize remote sensing image super-resolution,”
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C. Liu, K. Chen, R. Zhao, Z. Zou, and Z. Shi, “Text2earth: Unlocking text-driven remote sensing image generation with a global-scale dataset and a foundation model,”
2025
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