Mineral mapping based on an automatic detection of multiple absorption features

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00025798%3A_____%2F14%3A00000304" target="_blank" >RIV/00025798:_____/14:00000304 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Mineral mapping based on an automatic detection of multiple absorption features

Popis výsledku v původním jazyce

The poster was presented at the GeoMap conference and workshop in Olomouc, in June 2014. Abstract: In contrary to multispectral image data, hyperspectral (HS) imagery with higher spectral resolution provides sufficient spectral resolution to describe diagnostic absorption signatures. Specific chemical bonds in materials, whether solid, liquid or gas, determine I the surface reflectance and emittance, as variations in material composition often cause shifts in the position and shape of absorption bands in the spectrum. In addition, detecting the exact absorption wavelength position is a key factor not only for mineral identification but also for tracking diverse environmental processes and pathways. A couple of techniques to identify absorption parameters have been suggested, however they are capable of a quantitative characterization of just one major absorption feature and, due to the techniques they use, limited to the SWIR region. In this poster a new tools are presented allowing au

Název v anglickém jazyce

Mineral mapping based on an automatic detection of multiple absorption features

Popis výsledku anglicky

The poster was presented at the GeoMap conference and workshop in Olomouc, in June 2014. Abstract: In contrary to multispectral image data, hyperspectral (HS) imagery with higher spectral resolution provides sufficient spectral resolution to describe diagnostic absorption signatures. Specific chemical bonds in materials, whether solid, liquid or gas, determine I the surface reflectance and emittance, as variations in material composition often cause shifts in the position and shape of absorption bands in the spectrum. In addition, detecting the exact absorption wavelength position is a key factor not only for mineral identification but also for tracking diverse environmental processes and pathways. A couple of techniques to identify absorption parameters have been suggested, however they are capable of a quantitative characterization of just one major absorption feature and, due to the techniques they use, limited to the SWIR region. In this poster a new tools are presented allowing au

Druh

O - Ostatní výsledky

CEP obor

DB - Geologie a mineralogie

OECD FORD obor

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Projekt

<a href="/cs/project/LH13266" target="_blank" >LH13266: Nový přístup k algoritmizaci a automatizaci postupů získávání informací z hyperspektrálních dat se zaměřením na půdní a environmentální aplikace</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2014

Kód důvěrnosti údajů

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