Developing improved sharpening methods for higher spectral resolution EO data

Kód výsledku v 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>

Výsledek na webu

<a href="http://lps16.esa.int/" target="_blank" >http://lps16.esa.int/</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Developing improved sharpening methods for higher spectral resolution EO data

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Developing improved sharpening methods for higher spectral resolution EO data

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

DB - Geologie a mineralogie

OECD FORD obor

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Projekt

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Návaznosti

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of Living Planet Symposium 2016

ISBN

978-92-9221-305-3

ISSN

1609-042X

e-ISSN

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Počet stran výsledku

8

Strana od-do

1-8

Název nakladatele

ESA Communications

Místo vydání

Noordwijk

Místo konání akce

Praha

Datum konání akce

9. 5. 2016

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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