A Mechanism of Data Organization and Dynamic Scheduling for 3D Urban Landscape

This paper presents the technical achievements of a 3D project, which aims to visualizing the whole landscape model of the city Wuhan, China. According to the massive terrain, images and model data, an acquisition method of variety of these data and pre-processing approach is proposed. A extensible scene graph structure is described in detail to effectively manage large-scale data. According to the data structure, we designed a two level dynamic scheduling mechanism through multi-thread method to manipulate layer data and entity data.