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ISPRS Int. J. Geo-Inf. 2013, 2(2), 456-479; doi:10.3390/ijgi2020456

Multi-Temporal Time-Dependent Terrain Visualization through Localized Spatial Correspondence Parameterization

1
Institute for Cartography and Geoinformation, Leibniz University Hannover, Appelstrasse 9a, Hannover 30167, Germany
2
Mapping and Geo-Information Engineering, The Technion, Haifa 32000, Israel
*
Author to whom correspondence should be addressed.
Received: 22 March 2013 / Revised: 6 May 2013 / Accepted: 6 May 2013 / Published: 24 May 2013
(This article belongs to the Special Issue Geovisualization and Analysis of Dynamic Phenomena)
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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. View Full-Text
Keywords: interpolation; modeling; visualization; morphology; DEM/DTM; accuracy; hierarchical; multi-temporal; three-dimensional; spatio-temporal interpolation; modeling; visualization; morphology; DEM/DTM; accuracy; hierarchical; multi-temporal; three-dimensional; spatio-temporal
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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Dalyot, S.; Doytsher, Y. Multi-Temporal Time-Dependent Terrain Visualization through Localized Spatial Correspondence Parameterization. ISPRS Int. J. Geo-Inf. 2013, 2, 456-479.

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