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| description |
In spatial data integration the most difficult problems arise due to
multiple, inconsistent representations of one and the same real
world object in different geospatial databases. One of the biggest
challenges regarding the integration of multiple representations is
the identification of corresponding objects within diverse source
data sets. This process is generally referred to as spatial data
matching. Some sophisticated approaches have been presented to cope
with the task but still methods are needed to optimize the
procedure. In this work, it is intended to achieve such an
optimization by applying an iterative approach for the matching of
street data form disparate sources, namely the Geographic Data Files
(GDF) format and the German Authoritative Topographic Cartographic
Information System database (ATKIS). After reducing the global
geometric deviation of the linear source data sets by a rubber
sheeting transformation, the street objects are topologically split
and additional nodes are introduced, respectively, in order to
enable the detection of a maximum number of 1:1 matches. Then, the
matching process starts by identifying seed nodes in the source data
sets which show a high likelihood of correspondence. With the seed
nodes as starting points, a combined edge and node matching
algorithm detects 1:1 correspondences. In case no 1:1 match could be
found, an enhanced edge matching approach being able to recognize
1:2 matches is triggered. The whole process is performed in multiple
iterations and it is repeated applying relaxed constraints. The
results of the matching are stored in explicit relations expressing
the degree of inconsistency of multiple representations.
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| publisher |
University of Stuttgart : Collaborative Research Center SFB 627
(Nexus: World Models for Mobile Context-Based
Systems)
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| Hannover: Selbstverlag
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| type |
Text
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| Article in Proceedings
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| source |
In: Hampe,M. (ed.); Sester,M. (ed.); Harrie, L. (ed.): Proceedings
of the JOINT ISPRS Workshop on Multiple Representations and
Interoperability of Spatial Data. Vol. XXXVI Part 2/W40, pp. 101-110
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| contributor |
Institut für Photogrammetrie (ifp)
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| subject |
Database Applications (CR H.2.8)
| | Multiple Representations
| | Vector Data Matching
| | Spatial Databases
| | relation |
ISPRS
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