Labeled Dataset of SAR Sentinel-1 Imagery Despeckled with Multitemporal Fusion (5–25 Looks, VV/VH Polarizations)
Published: 20 March 2026| Version 1 | DOI: 10.17632/6nzd6x25vw.1
Contributor:
Ahmed Alejandro Cardona MesaDescription
This dataset contains globally distributed Sentinel-1 SAR image patches (512×512 pixels) acquired using dual polarizations (VV and VH) and both ascending and descending orbits. Each sample includes: (i) Single-acquisition SAR images (noisy input) (ii) Ground-truth images generated through multitemporal averaging using 5, 10, 15, 20, and 25 acquisitions (iii) Corresponding ESA WorldCover land cover maps (iv) A metadata CSV file containing geographic coordinates and Google Earth Engine identifiers. The dataset is designed for supervised training and benchmarking of SAR despeckling algorithms and multitemporal fusion strategies.
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Categories
Synthetic Aperture Radar, Radar Imaging, Land Cover Analysis, Speckle Reduction