Multiple-model based update of belgian reference road data

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dc.identifier.uri http://dx.doi.org/10.15488/1100
dc.identifier.uri http://www.repo.uni-hannover.de/handle/123456789/1124
dc.contributor.author Ziems, Marcel
dc.contributor.author Beyen, J.
dc.contributor.author Müller, Sönke
dc.contributor.author Roovers, S.
dc.contributor.author Heipke, Christian
dc.date.accessioned 2017-02-03T07:14:08Z
dc.date.available 2017-02-03T07:14:08Z
dc.date.issued 2011
dc.identifier.citation Ziems, M.; Beyen, J.; Mueller, S.; Roovers, S.; Heipke, C.: Multiple-model based update of belgian reference road data. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: [Geospatial Data Infrastructure: From Data Acquisition And Updating To Smarter Services] 38-4 (2011), Nr. W25, S. 73-79. DOI: https://doi.org/10.5194/isprsarchives-XXXVIII-4-W25-73-2011
dc.description.abstract This paper describes a semi-automatic system for road update based on high resolution orthophotos and 3D surface models. Potential update regions are identified by an object-wise verification of all existing database records, followed by a scene-wide detection of redevelopment regions. The proposed system combines several road detection and road verification approaches from current literature to form a more general solution. Each road detection / verification approach is realized as an independent module representing a unique road model combined with a corresponding processing strategy. The object-wise verification result of each module is formulated as a binary decision between the classes "correct road" and "incorrect road". These individual decisions are combined by Dempster-Shafer fusion, which provides tools for dealing with uncertain and incomplete knowledge about the statistical properties of the data. For each road detection / verification module a confidence function for the result is introduced that reflects the degree of correspondence of an actual test situation with an optimal situation according to the underlying road model of that module. Experimental results achieved with data from the national Belgian road database in a test site of about 134 km(2) demonstrate the potential of the method. eng
dc.language.iso eng
dc.publisher Göttingen : Copernicus GmbH
dc.relation.ispartof International-Society-for-Photogrammetry-and-Remote-Sensing Guilin Workshop on Geospatial Data Infrastructure - From Data Acquisition and Updating to Smarter Services, October 20-21, 2011, Guilin, Peoples R China
dc.relation.ispartofseries International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: [Geospatial Data Infrastructure: From Data Acquisition And Updating To Smarter Services] 38-4 (2011), Nr. W25
dc.rights CC BY 3.0
dc.rights.uri https://creativecommons.org/licenses/by/3.0/
dc.subject Road database eng
dc.subject Quality eng
dc.subject Updating eng
dc.subject Aerial eng
dc.subject DEM/DTM eng
dc.subject Classification eng
dc.subject Model eng
dc.subject Change detection eng
dc.subject extraction eng
dc.subject databases eng
dc.subject networks eng
dc.subject imagery eng
dc.subject.ddc 550 | Geowissenschaften ger
dc.title Multiple-model based update of belgian reference road data
dc.type article
dc.type conferenceObject
dc.type Text
dc.relation.issn 2194-9034
dc.relation.doi https://doi.org/10.5194/isprsarchives-XXXVIII-4-W25-73-2011
dc.bibliographicCitation.issue W25
dc.bibliographicCitation.volume 38-4
dc.bibliographicCitation.firstPage 73
dc.bibliographicCitation.lastPage 79
dc.description.version publishedVersion
tib.accessRights frei zug�nglich


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