摘要
提出了一种基于地形特征的点云简化算法,首先根据图像学差分算子提取点云中的地形特征点,再以地形特征点作为种子点建立TIN模型进行迭代简化,并对算法中存在的计算效率低下的问题进行优化。采用两组数据进行算法有效性测试,并与经典的距离-高差简化算法结果进行对比。结果表明,该算法在地形复杂的区域有更好的简化效果。
A simplified algorithm of point cloud was put forward based on terrain features in this article.Firstly,according to difference operator in the iconology,the algorithm extracted the terrain feature points from the point cloud data,and then established TIN model on the basis of terrain feature points,and processed these figures with iterative simplified algorithm and improved the low efficiency during the procedure of calculation.The results show that this algorithm has better results compare to the classic distance-contour simplified algorithm.
出处
《地理空间信息》
2015年第4期41-43,12,共3页
Geospatial Information
基金
国家高技术研究发展计划资助项目(2013AA122104-3)
博士点基金资助项目(20130141130003)
关键词
点云
图像学
地形特征
数据简化
point cloud
iconology
terrain feather
data simplified
