摘要
针对不同地形求解LiDAR点云数据在各种插值算法下不同比例尺允许的标准差内的最佳压缩率,以便提高数据处理的速率,为方便LiDAR数据的处理提供一种简便快捷的压缩方法。介绍了基于ArcGIS软件本源的最佳压缩方法、基于Python的点的坡度差的压缩方法和基于Python的坡度法向压缩方法。
LiDAR point cloud data can improve the accuracy of DEM, but it also can reduce the speed of data processing. So the appropriate compression of data is necessary. The best compression ratios for different terrain in a variety of interpolation algorithm and different scale have a maximum standard deviation, which can improve the data processing rate and it is very an efficient way for the processing of LiDAR cloud data. This paper introduced the best compression ratio based on Arc GIS software and the compression method for difference of point slope based on python.
出处
《地理空间信息》
2016年第10期19-21,4,共3页
Geospatial Information
基金
国家自然科学基金资助项目(41101374
41101374)
水利部公益性行业科研专项经费资助项目(201201025
201201025)
关键词
最佳压缩率
地形插值
标准差
坡度差
坡度法向量
the best compression ratio
terrain interpolation
standard deviation
the difference of slope
slope of the normal vector
