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Training dataset used in the paper L1BSR: Exploiting Detector Overlap for Self-Supervised Single-Image Super-Resolution of Sentinel-2 L1B Imagery. The Sentinel-2 satellite carries 12 CMOS detectors for the VNIR bands, with adjacent detectors having overlapping fields of view that result in overlapping regions in level-1 B (L1B) images. This dataset includes 3740 pairs of overlapping image crops extracted from two L1B products. Each crop has a height of around 400 pixels and a variable width that depends on the overlap width between detectors for RGBN bands, typically around 120-200 pixels. In addition to detector parallax, there is also cross-band parallax for each detector, resulting in shifts between bands. Pre-registration is performed for both cross-band and cross-detector parallax, with a precision of up to a few pixels (typically less than 10 pixels). Data notice: contains modified Copernicus Sentinel data 2023.
L1B, Single-image super-resolution, Cross-modal registration, RGBN, Cross-spectral registration, SISR, Sentinel-2, Remote sensing, Low-level vision, Self-supervision
L1B, Single-image super-resolution, Cross-modal registration, RGBN, Cross-spectral registration, SISR, Sentinel-2, Remote sensing, Low-level vision, Self-supervision
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