Fast and easy integration and classification of hyperspectral optical and thermal data: a mineral mapping case study

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00025798%3A_____%2F18%3A00000121" target="_blank" >RIV/00025798:_____/18:00000121 - 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

Fast and easy integration and classification of hyperspectral optical and thermal data: a mineral mapping case study

Popis výsledku v původním jazyce

Independent spectral analysis is usually employed to analyse hyperspectral optical (visible: VIS, near infrared: NIR, shortwave infrared: SWIR) and thermal (longwave infrared: LWIR) data. The integration of the spectral information provided by different wavelength ranges and the subsequent complex classification still remains challenging. In this paper we will demonstrate the benefits of mineral classification employed to optical and thermal hyperspectral data (CASI and SASI: 0.4-2.5 micrometer; TASI: 8.6-11.5 micrometer) when using new tools (QUANTools) developed at the Czech Geological Survey (CGS). In this case study, the same approach was employed as published by Kopačková and Koucká (2017) [1], however, previously hyperspectral optical data were used together with multispectral long-wave infrared (LWIR) data. In this paper we demonstrate that the new concept, which was recently introduced, can be directly employed to CASI/SASI/TASI hyperspectral datasets and provide results in terms of mineral classification in a quick and easy way.

Název v anglickém jazyce

Fast and easy integration and classification of hyperspectral optical and thermal data: a mineral mapping case study

Popis výsledku anglicky

Independent spectral analysis is usually employed to analyse hyperspectral optical (visible: VIS, near infrared: NIR, shortwave infrared: SWIR) and thermal (longwave infrared: LWIR) data. The integration of the spectral information provided by different wavelength ranges and the subsequent complex classification still remains challenging. In this paper we will demonstrate the benefits of mineral classification employed to optical and thermal hyperspectral data (CASI and SASI: 0.4-2.5 micrometer; TASI: 8.6-11.5 micrometer) when using new tools (QUANTools) developed at the Czech Geological Survey (CGS). In this case study, the same approach was employed as published by Kopačková and Koucká (2017) [1], however, previously hyperspectral optical data were used together with multispectral long-wave infrared (LWIR) data. In this paper we demonstrate that the new concept, which was recently introduced, can be directly employed to CASI/SASI/TASI hyperspectral datasets and provide results in terms of mineral classification in a quick and easy way.

Druh

O - Ostatní výsledky

CEP obor

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OECD FORD obor

20705 - Remote sensing

Projekt

<a href="/cs/project/GA17-05743S" target="_blank" >GA17-05743S: Nový spektrální pohled na biogeochemii malých lesních povodí</a><br>

Návaznosti

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

Rok uplatnění

2018

Kód důvěrnosti údajů

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