Developing improved sharpening methods for higher spectral resolution EO data

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00025798%3A_____%2F16%3A00000025" target="_blank" >RIV/00025798:_____/16:00000025 - isvavai.cz</a>
Result on the web
<a href="http://lps16.esa.int/" target="_blank" >http://lps16.esa.int/</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Developing improved sharpening methods for higher spectral resolution EO data
Original language description
The main objective of our work was to develop new approaches of the sharpening routines applied on the higher spectral resolution image data which are of a different sensor origin. This is also one of the issues in the development of optimal sharpening algorithm and will be very useful for sharpening a new generation superspectral and even hyperspectral satellite data such as Sentinel-2 and EnMap. We implemented PCA (Principal component analysis), which has the advantage of easy implementation and is broadly available, but has some weaknesses in transferring spectral information to the sharpened image, especially when dealing with data of different sensor origin. Our approach led to the development of modified sharpening approach which improved the spectral quality of fused images over the traditional PCA sharpening algorithm. Our approach was validated following the Wald´s protocol using common metrics, such as ERGAS, SAM and SFF.
Czech name
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Czech description
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Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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