摘要
基于Marching Cubes思想,本文提出散乱空间数据点的约简方法,该方法在保持空间数据点云表示精度的条件下,实现空间数据点云的有效约简并剔除噪声;基于立方体网格,简化了等高线搜索的难度,为体积计算提供了可靠的基础。该方法原理简单,算法容易实现,试验表明能够取得较为满意的效果。
Based on the theory of Marching Cubes, a new method about spatial points reduction is provided in this paper. This method can availably reduce the points and delete noise on the condition of preserving accuracy. The difficulty of searching contour line can be reduced greatly on basis of cubes. The principle is simple, and the algorithm can be carried out easily. The experiment shows that this method can gain satisfying results.
出处
《测绘科学》
CSCD
北大核心
2008年第6期81-82,共2页
Science of Surveying and Mapping
