Multiple-model based update of belgian reference road data

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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

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Sum total of downloads: 125




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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.
License of this version: CC BY 3.0
Document Type: article
Publishing status: publishedVersion
Issue Date: 2011
Appears in Collections:Fakultät für Bauingenieurwesen und Geodäsie

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pos. country downloads
total perc.
1 image of flag of Germany Germany 113 90.40%
2 image of flag of Korea, Republic of Korea, Republic of 5 4.00%
3 image of flag of Vietnam Vietnam 1 0.80%
4 image of flag of Singapore Singapore 1 0.80%
5 image of flag of Sweden Sweden 1 0.80%
6 image of flag of Portugal Portugal 1 0.80%
7 image of flag of Jordan Jordan 1 0.80%
8 image of flag of Europe Europe 1 0.80%
9 image of flag of Switzerland Switzerland 1 0.80%

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