Generalization of 3D linear building groups for 3D city modeling

摘要

With the development of digital city, 3D City Models (3DCM) are created and applied in more and more fields in recent years. In 3DCMs, buildings are the main components. The real-time visualization of large 3D city models requires the representation of the buildings in different levels of detail. Aiming at the automatic generation of multiple levels of detail of 3D linear building groups, this paper presents a generalization framework which extends the cartographic generalization algorithm mainly based on the operation of aggregation for the geometric simplification of linear 3D building groups. This framework is mainly composed of clustering buildings, the extraction of the generalization constraints , and generalization procedures. Experimental results illustrate that the proposed framework is useful to the real-time visualization applications of large-scale 3DCM.