A Framework for the generalization of 3D city models

With a growing availability of detailed 3D city models, an increased demand for the generalization of these models is going to arise, In order to build a useful system for the generalization of highly detailed 3D city models, it is necessary to give the user the opportunity to define the relevance of features on a semantic basis. This requires a high level of semantic information that is often not present in existing models and extremely flexible generalization strategies that allow different algo-rithms with different parameters to be used for the same model. In order to meet these requirements, we propose a framework for the generalization of 3 D city models that supports the definition of custom feature hierarchies and generalization algorithms and offers predefined default features and generalization modules that can be used where the application allows it.

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