Geometrical adjustment towards the alignment of vector databases

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Dalyot, S.; Dahinden, T.; Schulze, M.J.; Boljen, J.; Sester, M.: Geometrical adjustment towards the alignment of vector databases. In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences I-4 (2012), Nr. 1, S. 13-18. DOI: https://doi.org/10.5194/isprsannals-i-4-13-2012

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/5001

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Sum total of downloads: 33




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Abstract: 
Comparison of geospatial databases presenting similar spatial extent might show substantial differences. This is the consequence of different factors, such as: accuracy, scale, data collection and processing methods, level-of-detail, data models – to name a few. The differences are reflected in the geometric structure of objects, location, topology and the accompanying information. Geometric discrepancies are emerging, and sometimes even contradictions exist between the various data sources. Thus, the demand for processes that enable alignment of different data sources while maintaining spatial consistency is growing. Global solution strategies, such as an affine transformation, are incomplete solutions since discrepancies are still likely to exist due to the inability of such a global solution to account for the remaining errors due to local distortions. In order to account for the resulting random distortions, e.g., geometric conflicts, a localized geometric alignment process is implemented in this research. During this process the distortions (deviations) are quantified locally via sets of specifically selected observation constraints, to assure the spatial consistency of the vector data. This strategy exploits local spatial topologic and geometric relationships between corresponding line-features prior to the implementation of Least Squares Adjustment for the alignment, and observes local distortions and ambiguities that might exist. The outcome presents a significant improvement of the initial state by resolving local geometric distortions and discrepancies, suggesting a reliable solution for the problem on a statistically sound basis.
License of this version: CC BY 3.0 Unported
Document Type: article
Publishing status: publishedVersion
Issue Date: 2012
Appears in Collections:Fakultät für Bauingenieurwesen und Geodäsie

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1 image of flag of Germany Germany 19 57.58%
2 image of flag of Vietnam Vietnam 2 6.06%
3 image of flag of Nepal Nepal 2 6.06%
4 image of flag of Malaysia Malaysia 2 6.06%
5 image of flag of Israel Israel 2 6.06%
6 image of flag of Indonesia Indonesia 2 6.06%
7 image of flag of Turkey Turkey 1 3.03%
8 image of flag of Italy Italy 1 3.03%
9 image of flag of India India 1 3.03%
10 image of flag of United Kingdom United Kingdom 1 3.03%

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