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Statements

Subject Item
n2:RIV%2F00025615%3A_____%2F11%3A%230001817%21RIV12-MSM-00025615
rdf:type
skos:Concept n15:Vysledek
rdfs:seeAlso
http://www.fig.net/pub/fig2011/papers/ts05i/ts05i_talich_bohm_et_al_4827.pdf
dcterms:description
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 statistical summaries about classification results (e.g. distribution of classes, percentage of non-classified regions, etc.). The classification results and registration parameters can be saved for further use. The web application is based on common Internet standards (HTML, Javascript, SVG). The only requirement for running the application is an up-to-date Internet browser supporting SVG (Scalable Vector Graphics). Typical usage of the web application can involve land cover mapping based on satellite or aerial images. The application is available free of charge for any Internet user. 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 statistical summaries about classification results (e.g. distribution of classes, percentage of non-classified regions, etc.). The classification results and registration parameters can be saved for further use. The web application is based on common Internet standards (HTML, Javascript, SVG). The only requirement for running the application is an up-to-date Internet browser supporting SVG (Scalable Vector Graphics). Typical usage of the web application can involve land cover mapping based on satellite or aerial images. The application is available free of charge for any Internet user.
dcterms:title
Bayesian Classification of Digital Images by Web Application Bayesian Classification of Digital Images by Web Application
skos:prefLabel
Bayesian Classification of Digital Images by Web Application Bayesian Classification of Digital Images by Web Application
skos:notation
RIV/00025615:_____/11:#0001817!RIV12-MSM-00025615
n15:predkladatel
n16:ico%3A00025615
n3:aktivita
n4:P
n3:aktivity
P(2C06028)
n3:dodaniDat
n14:2012
n3:domaciTvurceVysledku
n6:6015883 n6:3661032 n6:7702655
n3:druhVysledku
n9:D
n3:duvernostUdaju
n19:S
n3:entitaPredkladatele
n20:predkladatel
n3:idSjednocenehoVysledku
187902
n3:idVysledku
RIV/00025615:_____/11:#0001817
n3:jazykVysledku
n8:eng
n3:klicovaSlova
Bayesian classification; digital images; web application; web map services
n3:klicoveSlovo
n12:web%20map%20services n12:Bayesian%20classification n12:web%20application n12:digital%20images
n3:kontrolniKodProRIV
[1776AEBB27F3]
n3:mistoKonaniAkce
Marrakech, Morocco
n3:mistoVydani
Marrakech, Morocco
n3:nazevZdroje
FIG Working Week 2011 - Bridging the Gap between Cultures
n3:obor
n13:DE
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
3
n3:projekt
n10:2C06028
n3:rokUplatneniVysledku
n14:2011
n3:tvurceVysledku
Soukup, Lubomír Böhm, Ondřej Talich, Milan
n3:typAkce
n18:WRD
n3:zahajeniAkce
2011-05-18+02:00
s:numberOfPages
13
n11:hasPublisher
International Federation of Surveyors (FIG)
n7:isbn
978-87-90907-92-1