Multi-temporal time-dependent terrain visualization through localized spatial correspondence parameterization

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Dalyot, Sagi; Doytsher, Y.: Multi-temporal time-dependent terrain visualization through localized spatial correspondence parameterization. In: ISPRS International Journal of Geo-Information 2 (2013), Nr. 2, S. 456-479. DOI: https://doi.org/10.3390/ijgi2020456

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/1059

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Sum total of downloads: 46




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Abstract: 
Visualizing quantitative time-dependent changes in the topography requires relying on a series of discrete given multi-temporal topographic datasets that were acquired on a given time-line. The reality of physical phenomenon occurring during the acquisition times is complex when trying to mutually model the datasets; thus, different levels of spatial inter-relations and geometric inconsistencies among the datasets exist. Any straight forward simulation will result in a truncated, ill-correct and un-smooth visualization. A desired quantitative and qualitative modelling is presumed to describe morphologic changes that occurred, so it can be utilized to carry out more precise and true-to-nature visualization tasks, while trying to best describe the reality transition as it occurred. This research paper suggests adopting a fully automatic hierarchical modelling mechanism, hence implementing several levels of spatial correspondence between the topographic datasets. This quantification is then utilized for the datasets morphing and blending tasks required for intermediate scene visualization. The establishment of a digital model that stores the local spatial transformation parameterization correspondences between the topographic datasets is realized. Along with designated interpolation concepts, this complete process ensures that the visualized transition from one topographic dataset to the other via the quantified correspondences is smooth and continuous, while maintaining morphological and topological relations. © 2013 by the authors; licensee MDPI, Basel, Switzerland.
License of this version: CC BY-NC-SA 3.0
Document Type: article
Publishing status: publishedVersion
Issue Date: 2013
Appears in Collections:Fakultät für Bauingenieurwesen und Geodäsie

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pos. country downloads
total perc.
1 image of flag of Germany Germany 42 91.30%
2 image of flag of Venezuela Venezuela 1 2.17%
3 image of flag of No geo information available No geo information available 1 2.17%
4 image of flag of Russian Federation Russian Federation 1 2.17%
5 image of flag of Czech Republic Czech Republic 1 2.17%

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