Quadtree-based Three-dimensional Visualization for the Geomorphologic Data in Multiple Resolutions
基于四叉树的多分辨率地形数据3维可视化

Three-dimensional visualization models for large-scale landscape geomorphology are the important parts of GIS platforms. In this paper, the problems related to the three-dimensional visualization of the geomorphologic data of a large-scale landscape are investigated. Regular grids serve as basic processing units for the representation of a large landscape geomorphology and the correspondingly multiple resolution data are saved in a link-listed quadtree structure. On the basis of this data structure, a dynamic LOD algorithm for traversing a link-listed quadtree is designed. In order to support the three-dimensional visualization of large-scale landscape geomorphology, the optimized visualization technologies, such as view frustum culling, triangle fans, and inner memory pool, are used in the algorithm. With the aid of VC 6.0, software for illustrating the three-dimensional visualization of large-scale landscape geomorphology has been developed based on Windows operating system.