Bayesian Classification of Digital Images by Web Application

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00025615%3A_____%2F11%3A%230001817" target="_blank" >RIV/00025615:_____/11:#0001817 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.fig.net/pub/fig2011/papers/ts05i/ts05i_talich_bohm_et_al_4827.pdf" target="_blank" >http://www.fig.net/pub/fig2011/papers/ts05i/ts05i_talich_bohm_et_al_4827.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Bayesian Classification of Digital Images by Web Application

Popis výsledku v původním jazyce

The contribution introduces web application for image classification that has been developed at the Research Institute of Geodesy, Topography and Cartography in the framework of grant project InGeoCalc (supported by Ministry of education of the Czech Republic). The web application is aimed to display, examine and classify digital image data. The data are expected to be obtained from Internet by means of Web Map Services (WMS) or from other sources (possibly non-registered). Image data from different sources can be combined and presented as composition of layers (coverage) with adjustable degrees of transparency. After gathering the data, Bayesian (supervised) classification is applied to distinguish separate regions in the image. User can choose between several classification methods and adjust pertinent parameters. Furthermore, several subsequent basic analytical tools are offered, namely computation of distances, areas or perimeters related to the classified regions, simple statistic

Název v anglickém jazyce

Bayesian Classification of Digital Images by Web Application

Popis výsledku anglicky

The contribution introduces web application for image classification that has been developed at the Research Institute of Geodesy, Topography and Cartography in the framework of grant project InGeoCalc (supported by Ministry of education of the Czech Republic). The web application is aimed to display, examine and classify digital image data. The data are expected to be obtained from Internet by means of Web Map Services (WMS) or from other sources (possibly non-registered). Image data from different sources can be combined and presented as composition of layers (coverage) with adjustable degrees of transparency. After gathering the data, Bayesian (supervised) classification is applied to distinguish separate regions in the image. User can choose between several classification methods and adjust pertinent parameters. Furthermore, several subsequent basic analytical tools are offered, namely computation of distances, areas or perimeters related to the classified regions, simple statistic

Druh

D - Stať ve sborníku

CEP obor

DE - Zemský magnetismus, geodesie, geografie

OECD FORD obor

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Projekt

<a href="/cs/project/2C06028" target="_blank" >2C06028: Tvorba znalostního systému pro podporu rozhodování založeného na geodatech</a><br>

Návaznosti

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

Rok uplatnění

2011

Kód důvěrnosti údajů

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

Název statě ve sborníku

FIG Working Week 2011 - Bridging the Gap between Cultures

ISBN

978-87-90907-92-1

ISSN

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e-ISSN

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Počet stran výsledku

13

Strana od-do

1-13

Název nakladatele

International Federation of Surveyors (FIG)

Místo vydání

Marrakech, Morocco

Místo konání akce

Marrakech, Morocco

Datum konání akce

18. 5. 2011

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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