"Space-FreqDiff SR"

"This dataset is derived from high-resolution remote sensing imagery acquired by the Gaofen-2 (GF-2) satellite, which provides sub-meter panchromatic data and multi-spectral observations with high spatial and temporal resolution. Representative scenes covering selected regions and time periods were collected and systematically preprocessed, including radiometric calibration, atmospheric correction, geometric correction, and image co-registration, to ensure radiometric consistency and geometric accuracy.To support super-resolution and image reconstruction research, a PAN-RS\u2013based degradation strategy was applied to the original high-resolution (HR) imagery. Specifically, the HR images were degraded through spatial blurring, down-sampling, and sensor-related response simulation to generate corresponding low-resolution (LR) images, while preserving realistic remote sensing characteristics. As a result, each LR image is strictly paired with its HR counterpart, forming well-aligned LR\u2013HR image pairs suitable for supervised learning tasks.The resulting dataset features high spatial fidelity and consistent LR\u2013HR correspondence, making it well suited for applications such as remote sensing image super-resolution, image fusion, target detection, and fine-scale land surface analysis. By releasing this dataset, we aim to provide a reliable benchmark for high-resolution remote sensing research and to facilitate data sharing and reproducible experimentation within the remote sensing and computer vision communities."