Datasets › PROBA-V
PROBA-V (PROBA-V Super-Resolution dataset)
The PROBA-V Super-Resolution dataset is the official dataset of ESA's Kelvins competition for "PROBA-V Super Resolution". It contains satellite data from 74 hand-selected regions around the globe at different points in time. The data is composed of radiometrically and geometrically corrected Top-Of-Atmosphere (TOA) reflectances for the RED and NIR spectral bands at 300m and 100m resolution in Plate Carrée projection. The 300m resolution data is delivered as 128x128 grey-scale pixel images, the 100m resolution data as 384x384 grey-scale pixel images. Additionally, a quality map is provided for each pixel, indicating whether the pixels are concealed (i.e. by clouads, ice, water, missing information, etc.).
The goal of the challenge can be described as Multi-Image Super-resolution: Construct a single high-resolution image out of a series of more frequent low resolution images.
Detailed information about the related competition can be found at https://kelvins.esa.int/proba-v-super-resolution.
Benchmarks archive 2025-07-28
All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Multi-Frame Super-Resolution | PROBA-V | TR-MISR Normalized cPSNR 0.9300466898779116 | TR-MISR: Multiimage Super-Resolution Based on Feature... | Suanmd/TR-MISR | 8 | Compare |
Papers archive 2025-07-28
7 shown of 7 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 7. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| TR-MISR: Multiimage Super-Resolution Based on Feature Fusion With Transformers | 1 | 1 | 5 Feb 2022 | not harvested |
| Permutation invariance and uncertainty in multitemporal image super-resolution | 1 | 1 | 26 May 2021 | ran 0 of 8 samples (8 unverified) |
| Multi-image Super Resolution of Remotely Sensed Images using Residual Feature Attention Deep Neural Networks | 2 | 1 | 6 Jul 2020 | not harvested |
| HighRes-net: Recursive Fusion for Multi-Frame Super-Resolution of Satellite Imagery | 2 | 1 | 15 Feb 2020 | not harvested |
| HighRes-net: Multi-Frame Super-Resolution by Recursive Fusion | 1 | 1 | 1 Jan 2020 | not harvested |
| DeepSUM: Deep neural network for Super-resolution of Unregistered Multitemporal images | 1 | 1 | 15 Jul 2019 | not harvested |
| Wide Activation for Efficient and Accurate Image Super-Resolution | 12 | 2 | 27 Aug 2018 | ran 0 of 17 samples (17 unverified; 2 pointer-only for licence) |
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
Creative Commons Attribution 4.0 International
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- PROBA-V
1 variant name, as the archive lists them.
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