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Statements

Subject Item
n2:RIV%2F00216208%3A11310%2F10%3A10082650%21RIV11-MZP-11310___
rdf:type
skos:Concept n17:Vysledek
dcterms:description
The paper focuses on development of classification rules for road extraction from very high resolution satellite images. From the methodological point of view, a main emphasis is on object based image analyses and finding suitable features for discriminating consolidated (asphalt) roads from other land cover classes. Results of practical tests on QuickBird images from the surroundings of Prague (combination of agriculture, urban and forest areas) are presented. Supervised, per-pixel approach was also applied. A comparison of automatically derived land cover classes with manual interpretation of imagery showed similar level of accuracy of pixel and object based classification results. Nevertheless, a visual inspection proved better consistency of OBIA derived road segments that should be an input for creating a vector road network GIS layer. The paper focuses on development of classification rules for road extraction from very high resolution satellite images. From the methodological point of view, a main emphasis is on object based image analyses and finding suitable features for discriminating consolidated (asphalt) roads from other land cover classes. Results of practical tests on QuickBird images from the surroundings of Prague (combination of agriculture, urban and forest areas) are presented. Supervised, per-pixel approach was also applied. A comparison of automatically derived land cover classes with manual interpretation of imagery showed similar level of accuracy of pixel and object based classification results. Nevertheless, a visual inspection proved better consistency of OBIA derived road segments that should be an input for creating a vector road network GIS layer.
dcterms:title
Road classification from VHR imagery Road classification from VHR imagery
skos:prefLabel
Road classification from VHR imagery Road classification from VHR imagery
skos:notation
RIV/00216208:11310/10:10082650!RIV11-MZP-11310___
n3:aktivita
n14:P
n3:aktivity
P(SP/4I5/212/07)
n3:dodaniDat
n4:2011
n3:domaciTvurceVysledku
n19:1278665 n19:6714854
n3:druhVysledku
n7:D
n3:duvernostUdaju
n20:S
n3:entitaPredkladatele
n10:predkladatel
n3:idSjednocenehoVysledku
285531
n3:idVysledku
RIV/00216208:11310/10:10082650
n3:jazykVysledku
n9:eng
n3:klicovaSlova
QuickBird; road extraction; OBIA
n3:klicoveSlovo
n8:OBIA n8:QuickBird n8:road%20extraction
n3:kontrolniKodProRIV
[66D6215C61B9]
n3:mistoKonaniAkce
Paris
n3:mistoVydani
Neuveden
n3:nazevZdroje
Proceedings of EARSeL Symposium 2010
n3:obor
n18:DE
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
3
n3:projekt
n21:SP%2F4I5%2F212%2F07
n3:rokUplatneniVysledku
n4:2010
n3:tvurceVysledku
Potůčková, Markéta Kolankiewiczová, Soňa Kupková, Lucie
n3:typAkce
n6:WRD
n3:zahajeniAkce
2010-05-31+02:00
s:numberOfPages
8
n5:hasPublisher
EARSeL
n11:isbn
978-3-00-033435-1
n13:organizacniJednotka
11310