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论述了一种基于大规模格网数据或离散高程点动态构建多分辨率地形模型的算法。
This paper presents a dynamic construction algorithm for the multi-resolution terrain model based on the large scale GRID data or discrete elevation data.
提出和改进了两种适合现阶段的基于四叉树(自适应四叉树和隐含四叉树)的实时动态多分辨率地形模型。
To represent dynamic multiresolution terrain in real time, two sorts of models suitable for current stage are proposed, the adaptive quadtree model and the implied quadtree model.
ROAM算法就是通过采用分解和合并方法实时地调整三角形网格，能交互式地实现观察依赖、局部可调整的地形网格化处理，生成多分辨率的地形模型。
ROAM method adopts split and merge operations to adjust triangle meshes, can interactively perform view-dependent, locally-adaptive terrain meshing and can construct multiresolution terrain model.
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