Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-319-12181-9_1
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dc.titleImproving the consistency of multi-LOD cityGML datasets by removing redundancy
dc.contributor.authorBiljecki F.
dc.contributor.authorLedoux H.
dc.contributor.authorStoter J.
dc.date.accessioned2018-10-12T01:44:42Z
dc.date.available2018-10-12T01:44:42Z
dc.date.issued2015
dc.identifier.citationBiljecki F., Ledoux H., Stoter J. (2015). Improving the consistency of multi-LOD cityGML datasets by removing redundancy. Lecture Notes in Geoinformation and Cartography PartF3 : 1-17. ScholarBank@NUS Repository. https://doi.org/10.1007/978-3-319-12181-9_1
dc.identifier.isbn9783319121802
dc.identifier.issn18632351
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/148125
dc.description.abstractThe CityGML standard enables the modelling of some topological relationships, and the representation in multiple levels of detail (LODs). However, both concepts are rarely utilised in reality. In this paper we investigate the linking of corresponding geometric features across multiple representations. We describe the possible topological cases, show how to detect these relationships, and how to store them explicitly. A software prototype has been implemented to detect matching features within and across LODs, and to automatically link them by establishing explicit topological relationships (with XLink). The experiments ran on our test datasets show a considerable number of matched geometries. Further, this method doubles as a lossless data compression method, considering that the storage footprint in the consolidated datasets has been reduced from their dissociated counterparts. © Springer International Publishing Switzerland 2015.
dc.publisherSpringer Berlin Heidelberg
dc.sourceScopus
dc.subjectCityGML; Compression; Multi-LOD; Topology; XLink
dc.typeConference Paper
dc.contributor.departmentARCHITECTURE
dc.contributor.departmentREAL ESTATE
dc.description.doi10.1007/978-3-319-12181-9_1
dc.description.sourcetitleLecture Notes in Geoinformation and Cartography
dc.description.volumePartF3
dc.description.page1-17
dc.published.statepublished
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