Szczegóły publikacji
Opis bibliograficzny
Challenges in preparing datasets for super-resolution on the example of Sentinel-2 and Planet Scope images / A. MALCZEWSKA, J. Malczewski, B. HEJMANOWSKA // The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ; ISSN 1682-1750. — 2023 — vol. 48-1/W3-2023, s. 91–98. — Bibliogr. s. 97–98, Abstr. — Publikacja dostępna online od: 2023-10-19. — 2nd GEOBENCH Workshop on Evaluation and BENCHmarking of sensors, systems and GEOspatial data in photogrammetry and remote sensing : 23–24 October 2023, Krakow, Poland
Autorzy (3)
- AGHMalczewska Anna
- Malczewski J.
- AGHHejmanowska Beata
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 150590 |
|---|---|
| Data dodania do BaDAP | 2024-01-05 |
| Tekst źródłowy | URL |
| DOI | 10.5194/isprs-archives-XLVIII-1-W3-2023-91-2023 |
| Rok publikacji | 2023 |
| Typ publikacji | referat w czasopiśmie |
| Otwarty dostęp |  |
| Creative Commons | |
| Czasopismo/seria | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Abstract
Benchmark datasets is an significant aspect in in many areas such as computer vision, deep learning, geospatial data as they serve as standardized test sets for evaluating the performance of models. Among many techniques of image processing, there is super-resolution (SR) which is aimed at reconstructing a low-resolution (LR) image into a high-resolution (HR) image. For training and validation SR models as a dataset the pairs of HR and LR images are needed, which should be the same apart from resolution. There is a lot of benchmark datasets for super-resolution methods, but they usually include conventional photographs of an common objects, while remote sensing data have different characteristic in general. This paper focuses on the process of preparing datasets for super-resolution in satellite images, where high-resolution and low-resolution image data come from different sources. The case of the single-image super-resolution method was considered. The experiment was performed on Sentinel-2 and PlanetScope data, but the assumptions can also be transferred to data obtained from other satellites. The procedure on how to make the pairs of HR and LR images consistent in terms of time, location and spectral values was proposed. The impact of the processes carried out was measured using image similarity measurement methods such as PSNR, SSIM and SCC.