Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.compenvurbsys.2016.04.005
Title: An improved LOD specification for 3D building models
Authors: Biljecki F. 
Ledoux H.
Stoter J.
Keywords: 3D building models
3D city modelling
3D GIS
CityGML
Level of detail
Scale
Issue Date: 2016
Publisher: Elsevier Ltd
Citation: Biljecki F., Ledoux H., Stoter J. (2016). An improved LOD specification for 3D building models. Computers, Environment and Urban Systems 59 : 25-37. ScholarBank@NUS Repository. https://doi.org/10.1016/j.compenvurbsys.2016.04.005
Rights: Attribution-NonCommercial-NoDerivatives 4.0 International
Abstract: The level of detail (LOD) concept of the OGC standard CityGML 2.0 is intended to differentiate multi-scale representations of semantic 3D city models. The concept is in practice principally used to indicate the geometric detail of a model, primarily of buildings. Despite the popularity and the general acceptance of this categorisation, we argue in this paper that from a geometric point of view the five LODs are insufficient and that their specification is ambiguous.We solve these shortcomings with a better definition of LODs and their refinement. Hereby we present a refined set of 16 LODs focused on the grade of the exterior geometry of buildings, which provide a stricter specification and allow less modelling freedom. This series is a result of an exhaustive research into currently available 3D city models, production workflows, and capabilities of acquisition techniques. Our specification also includes two hybrid models that reflect common acquisition practices. The new LODs are in line with the LODs of CityGML 2.0, and are intended to supplement, rather than replace the geometric part of the current specification. While in our paper we focus on the geometric aspect of the models, our specification is compatible with different levels of semantic granularity. Furthermore, the improved LODs can be considered format-agnostic.Among other benefits, the refined specification could be useful for companies for a better definition of their product portfolios, and for researchers to specify data requirements when presenting use cases of 3D city models. We support our refined LODs with experiments, proving their uniqueness by showing that each yields a different result in a 3D spatial operation. © 2016 Elsevier Ltd.
Source Title: Computers, Environment and Urban Systems
URI: http://scholarbank.nus.edu.sg/handle/10635/148043
ISSN: 01989715
DOI: 10.1016/j.compenvurbsys.2016.04.005
Rights: Attribution-NonCommercial-NoDerivatives 4.0 International
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