Near surface geophysical anomaly modeling and detection in Matlab

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F12%3A%230002231" target="_blank" >RIV/46747885:24220/12:#0002231 - isvavai.cz</a>

Výsledek na webu

<a href="http://www2.humusoft.cz/www/papers/matlab12/086_Triskova.pdf" target="_blank" >http://www2.humusoft.cz/www/papers/matlab12/086_Triskova.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Near surface geophysical anomaly modeling and detection in Matlab

Popis výsledku v původním jazyce

The near surface geophysical survey is often focused to detect and classify an anomaly located near to the Earth surface. The anomaly detection can be applied in the archaeological survey, in the stability of soil classification during the pre-construction survey or for example to detect cavities in dams after a disaster. Our current work was inspired by an idea to use the geophysical methods in the rescue operation directly after a disease. Such application has several typical constrains resulting in the fact that we have to semi-automate the recognition process. We have decided to focus to the potential fields based methods such as gravimetry or polarization methods. The anomaly recognition process is based on pattern detection in the acquired data.Body by body, method by method, we have described typical pattern of the anomaly in the acquired data. Based on the corresponding physical model we are looking for a relationship between the pattern characteristics and physical body param

Název v anglickém jazyce

Near surface geophysical anomaly modeling and detection in Matlab

Popis výsledku anglicky

The near surface geophysical survey is often focused to detect and classify an anomaly located near to the Earth surface. The anomaly detection can be applied in the archaeological survey, in the stability of soil classification during the pre-construction survey or for example to detect cavities in dams after a disaster. Our current work was inspired by an idea to use the geophysical methods in the rescue operation directly after a disease. Such application has several typical constrains resulting in the fact that we have to semi-automate the recognition process. We have decided to focus to the potential fields based methods such as gravimetry or polarization methods. The anomaly recognition process is based on pattern detection in the acquired data.Body by body, method by method, we have described typical pattern of the anomaly in the acquired data. Based on the corresponding physical model we are looking for a relationship between the pattern characteristics and physical body param

Druh

D - Stať ve sborníku

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2012

Kód důvěrnosti údajů

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

Název statě ve sborníku

20th Annual Conference Proceeding's Technical Computing Bratislava 2012

ISBN

978-80-970519-4-5

ISSN

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e-ISSN

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Počet stran výsledku

4

Strana od-do

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Název nakladatele

Humusoft s. r. o.

Místo vydání

Praha

Místo konání akce

Bratislava

Datum konání akce

1. 1. 2012

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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