Multimodal data fusion in remote sensing

0562647 - ÚTIA 2023 RIV CZ eng K - Konferenční příspěvek (tuzemská konf.)
Greško, Šimon - Zitová, Barbara
Multimodal data fusion in remote sensing.
České uživatelské fórum Copernicus 2021. Praha: Česká informační agentura životního prostředí, 2021.
[České uživatelské fórum Copernicus 2021. Praha (CZ), 09.11.2021-10.11.2021]
Grant ostatní: AV ČR(CZ) StrategieAV21/1
Program: StrategieAV
Institucionální podpora: RVO:67985556
Klíčová slova: remote sensing * thermal sharpening * sentinel
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
http://library.utia.cas.cz/separaty/2022/ZOI/gresko-0562647.pdf

With fast development of remote sensing technologies, demand for remote sensing data started to be increasing. Providing space resolution of these data may not be sufficient for target application. For that reason the methods for fusing remote sensing images were developed. This issue appears in the question of demand for high resolution thermal data. Sentinel-3 provides free remote sensing thermal data with space resolution 1000x1000 m, which may be insufficient for some specialized applications. In this thesis, standard methods of image fusion are presented as well as specialized methods for thermal sharpening, their modifications, implementation and results including validation and comparison.
Trvalý link: https://hdl.handle.net/11104/0335177