Abstract
In a dynamic world where the steadily increasing demand for up-to-date geodata drives the continuous acquisition of three-dimensional (3D) data, appropriate systems for managing and analyzing the resulting data become more and more important. Efficient solutions for handling multiple representations and data heterogeneity are of special significance. Existing geoinformation systems are still not able to cope with the huge diversity of geodata. Available approaches and systems that apply merging processes in order to generate one single representation for each real-world object are not practicable any more. Thus, our goal is a hybrid 3D geoinformation system that allows for integrated management of heterogeneous and multiply-represented geodata. Our concept is hybrid with respect to data given in different data models, dimensions, and quality levels. Multiple representations and data inconsistency can be handled through the explicit modeling of geometric correspondences.
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Becker, S., Walter, V., Fritsch, D. (2014). Modeling Concepts for Consistency Analysis of Multiple Representations and Heterogeneous 3D Geodata. In: Popovich, V., Claramunt, C., Schrenk, M., Korolenko, K. (eds) Information Fusion and Geographic Information Systems (IF AND GIS 2013). Lecture Notes in Geoinformation and Cartography. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31833-7_6
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DOI: https://doi.org/10.1007/978-3-642-31833-7_6
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