Multimodal data fusion in remote sensing

0562647 - ÚTIA 2023 RIV CZ eng K - Conference Paper (Czech conference)
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 - others:AV ČR(CZ) StrategieAV21/1
Program: StrategieAV
Institutional support: RVO:67985556
Keywords : remote sensing * thermal sharpening * sentinel
OECD category: 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.
Permanent Link: https://hdl.handle.net/11104/0335177