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Research on Effective Organization and Scheduling of Massive 3D Building Models for Constructing Digital Rural

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Abstract:

In this paper, the organization and scheduling of massive building data in rural areas is presented for constructing the digital rural system. In the terms of data organization, a data organization model is proposed through employing the merits of high efficiency of the grid index and low redundancy of the improved quad-tree. Particularly, the whole organization process is performed on three different levels: large-scale scene, grid scene and single rural building. In the terms of data scheduling, a dynamic scheduling policy is introduced in which the view-dependent LOD, cache and multithreading are used for improving efficiency. The experiments indicate that the grid index employed for organizing the data of a large-scale scene is helpful to improve efficiency, and the improved quad-tree index utilized for organizing the data of a grid scene is helpful to reduce the redundancy. The results also suggest that our proposed strategy is reasonable and possible to organize and schedule the massive 3D building models in digital rural system.

Keywords: DATA CACHE; GRID INDEX; IMPROVED QUAD-TREE INDEX; MULTITHREADING; VIEW-DEPENDENT LOD

Document Type: Research Article

DOI: http://dx.doi.org/10.1166/sl.2012.1827

Publication date: January 1, 2012

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