MULTIPLE-MODEL BASED UPDATE OF BELGIAN REFERENCE ROAD DATA
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 propose...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2012-08-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXVIII-4-W25/73/2011/isprsarchives-XXXVIII-4-W25-73-2011.pdf |
| _version_ | 1811276162930835456 |
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| author | M. Ziems J. Beyen S. Mueller S. Roovers C. Heipke |
| author_facet | M. Ziems J. Beyen S. Mueller S. Roovers C. Heipke |
| author_sort | M. Ziems |
| collection | DOAJ |
| description | 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<sup>2</sup>
demonstrate the potential of the method. |
| first_indexed | 2024-04-12T23:52:42Z |
| format | Article |
| id | doaj.art-8ca25b1047754d99bbcac875f6737aa7 |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-04-12T23:52:42Z |
| publishDate | 2012-08-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-8ca25b1047754d99bbcac875f6737aa72022-12-22T03:11:39ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342012-08-01XXXVIII-4-W25737910.5194/isprsarchives-XXXVIII-4-W25-73-2011MULTIPLE-MODEL BASED UPDATE OF BELGIAN REFERENCE ROAD DATAM. Ziems0J. Beyen1S. Mueller2S. Roovers3C. Heipke4IPI – Institute of Photogrammetry and GeoInformation, Leibniz Universität Hannover, Nienburger Str. 1, 30167 Hannover, GermanyNGI – National Geographical Institute, Abdij Ter Kameren 13, B-1000 Brussels, BelgiumIPI – Institute of Photogrammetry and GeoInformation, Leibniz Universität Hannover, Nienburger Str. 1, 30167 Hannover, GermanyNGI – National Geographical Institute, Abdij Ter Kameren 13, B-1000 Brussels, BelgiumIPI – Institute of Photogrammetry and GeoInformation, Leibniz Universität Hannover, Nienburger Str. 1, 30167 Hannover, GermanyThis 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<sup>2</sup> demonstrate the potential of the method.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXVIII-4-W25/73/2011/isprsarchives-XXXVIII-4-W25-73-2011.pdf |
| spellingShingle | M. Ziems J. Beyen S. Mueller S. Roovers C. Heipke MULTIPLE-MODEL BASED UPDATE OF BELGIAN REFERENCE ROAD DATA The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | MULTIPLE-MODEL BASED UPDATE OF BELGIAN REFERENCE ROAD DATA |
| title_full | MULTIPLE-MODEL BASED UPDATE OF BELGIAN REFERENCE ROAD DATA |
| title_fullStr | MULTIPLE-MODEL BASED UPDATE OF BELGIAN REFERENCE ROAD DATA |
| title_full_unstemmed | MULTIPLE-MODEL BASED UPDATE OF BELGIAN REFERENCE ROAD DATA |
| title_short | MULTIPLE-MODEL BASED UPDATE OF BELGIAN REFERENCE ROAD DATA |
| title_sort | multiple model based update of belgian reference road data |
| url | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXVIII-4-W25/73/2011/isprsarchives-XXXVIII-4-W25-73-2011.pdf |
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