التفاصيل البيبلوغرافية
| العنوان: |
MuS2: A Real-World Benchmark for Sentinel-2 Multi-Image Super-Resolution |
| المؤلفون: |
Kowaleczko, Pawel, Tarasiewicz, Tomasz, Ziaja, Maciej, Kostrzewa, Daniel, Nalepa, Jakub, Rokita, Przemyslaw, Kawulok, Michal |
| سنة النشر: |
2022 |
| المجموعة: |
Computer Science |
| مصطلحات موضوعية: |
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition |
| الوصف: |
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 10 m 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 MuS2 benchmark 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. |
| نوع الوثيقة: |
Working Paper |
| DOI: |
10.1038/s41597-023-02538-9 |
| URL الوصول: |
http://arxiv.org/abs/2210.02745 |
| رقم الانضمام: |
edsarx.2210.02745 |
| قاعدة البيانات: |
arXiv |