Original title: Multimodal data fusion in remote sensing
Authors: Greško, Šimon ; Zitová, Barbara
Document type: Papers
Conference/Event: České uživatelské fórum Copernicus 2021, Praha (CZ), 20211109
Year: 2021
Language: eng
Abstract: 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.
Keywords: remote sensing; sentinel; thermal sharpening
Project no.: StrategieAV21/1
Funding provider: AV ČR
Host item entry: České uživatelské fórum Copernicus 2021

Institution: Institute of Information Theory and Automation AS ČR (web)
Document availability information: Fulltext is available at external website.
External URL: http://library.utia.cas.cz/separaty/2022/ZOI/gresko-0562647.pdf
Original record: https://hdl.handle.net/11104/0335177

Permalink: http://www.nusl.cz/ntk/nusl-511333


The record appears in these collections:
Research > Institutes ASCR > Institute of Information Theory and Automation
Conference materials > Papers