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A Real-World Benchmark for Sentinel-2 Multi-Image Super-Resolution

Insufficient image spatial resolution is a serious limitation in many practical scenarios, especially when acquiring images at a finer scale is infeasible or brings higher costs. This is inherent to remote sensing, including Sentinel-2 satellite images that are available free of charge at a high rev...

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Autores principales: Kowaleczko, Pawel, Tarasiewicz, Tomasz, Ziaja, Maciej, Kostrzewa, Daniel, Nalepa, Jakub, Rokita, Przemyslaw, Kawulok, Michal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10514337/
https://www.ncbi.nlm.nih.gov/pubmed/37735171
http://dx.doi.org/10.1038/s41597-023-02538-9
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author Kowaleczko, Pawel
Tarasiewicz, Tomasz
Ziaja, Maciej
Kostrzewa, Daniel
Nalepa, Jakub
Rokita, Przemyslaw
Kawulok, Michal
author_facet Kowaleczko, Pawel
Tarasiewicz, Tomasz
Ziaja, Maciej
Kostrzewa, Daniel
Nalepa, Jakub
Rokita, Przemyslaw
Kawulok, Michal
author_sort Kowaleczko, Pawel
collection PubMed
description Insufficient image spatial resolution is a serious limitation in many practical scenarios, especially when acquiring images at a finer scale is infeasible or brings higher costs. This is inherent to remote sensing, including Sentinel-2 satellite images that are available free of charge at a high revisit frequency, but whose spatial resolution is limited to 10m ground sampling distance. The resolution can be increased with super-resolution algorithms, in particular when performed from multiple images captured at subsequent revisits of a satellite, taking advantage of information fusion that leads to enhanced reconstruction accuracy. One of the obstacles in multi-image super-resolution consists in the scarcity of real-world benchmarks—commonly, simulated data are exploited which do not fully reflect the operating conditions. In this paper, we introduce a new benchmark (named MuS2) for super-resolving multiple Sentinel-2 images, with WorldView-2 imagery used as the high-resolution reference. Within MuS2, we publish the first end-to-end evaluation procedure for this problem which we expect to help the researchers in advancing the state of the art in multi-image super-resolution.
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spelling pubmed-105143372023-09-23 A Real-World Benchmark for Sentinel-2 Multi-Image Super-Resolution Kowaleczko, Pawel Tarasiewicz, Tomasz Ziaja, Maciej Kostrzewa, Daniel Nalepa, Jakub Rokita, Przemyslaw Kawulok, Michal Sci Data Data Descriptor Insufficient image spatial resolution is a serious limitation in many practical scenarios, especially when acquiring images at a finer scale is infeasible or brings higher costs. This is inherent to remote sensing, including Sentinel-2 satellite images that are available free of charge at a high revisit frequency, but whose spatial resolution is limited to 10m ground sampling distance. The resolution can be increased with super-resolution algorithms, in particular when performed from multiple images captured at subsequent revisits of a satellite, taking advantage of information fusion that leads to enhanced reconstruction accuracy. One of the obstacles in multi-image super-resolution consists in the scarcity of real-world benchmarks—commonly, simulated data are exploited which do not fully reflect the operating conditions. In this paper, we introduce a new benchmark (named MuS2) for super-resolving multiple Sentinel-2 images, with WorldView-2 imagery used as the high-resolution reference. Within MuS2, we publish the first end-to-end evaluation procedure for this problem which we expect to help the researchers in advancing the state of the art in multi-image super-resolution. Nature Publishing Group UK 2023-09-21 /pmc/articles/PMC10514337/ /pubmed/37735171 http://dx.doi.org/10.1038/s41597-023-02538-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Data Descriptor
Kowaleczko, Pawel
Tarasiewicz, Tomasz
Ziaja, Maciej
Kostrzewa, Daniel
Nalepa, Jakub
Rokita, Przemyslaw
Kawulok, Michal
A Real-World Benchmark for Sentinel-2 Multi-Image Super-Resolution
title A Real-World Benchmark for Sentinel-2 Multi-Image Super-Resolution
title_full A Real-World Benchmark for Sentinel-2 Multi-Image Super-Resolution
title_fullStr A Real-World Benchmark for Sentinel-2 Multi-Image Super-Resolution
title_full_unstemmed A Real-World Benchmark for Sentinel-2 Multi-Image Super-Resolution
title_short A Real-World Benchmark for Sentinel-2 Multi-Image Super-Resolution
title_sort real-world benchmark for sentinel-2 multi-image super-resolution
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10514337/
https://www.ncbi.nlm.nih.gov/pubmed/37735171
http://dx.doi.org/10.1038/s41597-023-02538-9
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