Geometrical adjustment towards the alignment of vector databases

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dc.identifier.uri http://dx.doi.org/10.15488/5001
dc.identifier.uri https://www.repo.uni-hannover.de/handle/123456789/5045
dc.contributor.author Dalyot, S.
dc.contributor.author Dahinden, Tobias
dc.contributor.author Schulze, Malte Jan
dc.contributor.author Boljen, J.
dc.contributor.author Sester, Monika
dc.date.accessioned 2019-06-26T11:10:02Z
dc.date.available 2019-06-26T11:10:02Z
dc.date.issued 2012
dc.identifier.citation 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
dc.description.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. eng
dc.language.iso eng
dc.publisher Göttingen : Copernicus GmbH
dc.relation.ispartof XXII ISPRS Congress, 25 August – 01 September 2012, Melbourne, Australia
dc.relation.ispartofseries ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences I-4 (2012), Nr. 1
dc.rights CC BY 3.0 Unported
dc.rights.uri https://creativecommons.org/licenses/by/3.0/
dc.subject Mathematical optimization eng
dc.subject Data collection eng
dc.subject Artificial intelligence eng
dc.subject Least squares adjustment eng
dc.subject Computer vision eng
dc.subject Mathematics eng
dc.subject Data modeling eng
dc.subject Database eng
dc.subject Affine transformation eng
dc.subject Geospatial analysis eng
dc.subject.ddc 550 | Geowissenschaften ger
dc.title Geometrical adjustment towards the alignment of vector databases
dc.type article
dc.type conferenceObject
dc.type Text
dc.relation.issn 2194-9050
dc.relation.doi https://doi.org/10.5194/isprsannals-i-4-13-2012
dc.bibliographicCitation.issue 1
dc.bibliographicCitation.volume I-4
dc.bibliographicCitation.firstPage 13
dc.bibliographicCitation.lastPage 18
dc.description.version publishedVersion
tib.accessRights frei zug�nglich


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