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%2F86652079%3A_____%2F18%3A00521390" target="_blank" >RIV/86652079:_____/18:00521390 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00025798:_____/18:00000227

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 mu m, TASI: 8.6-11.5 mu m) when using new tools (QUANTools) developed at the Czech Geological Survey (CGS). In this case study, the same approach was employed as published by Kopackova and Koucka (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 mu m, TASI: 8.6-11.5 mu m) when using new tools (QUANTools) developed at the Czech Geological Survey (CGS). In this case study, the same approach was employed as published by Kopackova and Koucka (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

D - Stať ve sborníku

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

Název statě ve sborníku

IGARSS 2018 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM

ISBN

978-1-5386-7150-4

ISSN

2153-6996

e-ISSN

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Počet stran výsledku

4

Strana od-do

7426-7429

Název nakladatele

IEEE

Místo vydání

New York

Místo konání akce

Valencie

Datum konání akce

22. 7. 2018

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

000451039807027