采样数据密度及栅格尺寸对高程中误差的影响分析  

Analysis of Relationship Among RMSE of Elevation,Grid Size and Data Density when Generate DEM

作　　者：王雷[1,2] 杨勤科[1,2] 王春梅[1] 龙永清[2] 

机构地区：[1]中国科学院水利部水土保持研究所,西安市西农路26号712100 [2]西北大学城市与环境学院,西安市学府大道1号710127

出　　处：《武汉大学学报（信息科学版）》2012年第3期366-369,共4页Geomatics and Information Science of Wuhan University

基　　金：国家自然科学基金资助项目(40971173);国家973计划资助项目(2007CB407203);陕西省教育厅科研计划资助项目(11JK0740);西北大学科学研究基金资助项目(10NW07)

摘　　要：利用全数字摄影测量得到的高精度点数据,获取不同密度的点数据,建立基于ANUDEM和TIN方法的两种DEM,比较两种DEM的高程中误差,分析数据密度、栅格尺寸与高程中误差的关系。研究结果表明,建立1∶100 00比例尺,具有高程中误差2m左右、栅格尺寸5m以下的ANUDEM,需要的点密度水平为大于7 000个/km2,而TINDEM则为8 500个/km2。同时,当栅格尺寸小于20m、数据密度介于7 000～9 400个/km2时,无论是ANUDEM还是TINDEM,高程中误差都处于一个较稳定的状态。The resolution of digital elevation models is a basic parameter to generate DEM. However, those studies about how to decide the resolution of DEM didn＇t take the points number into account. We analyze RMSE of Elevation of ANUDEM and TIN-DEM, which are generated by the data extracted from aero photos by digital photogrammetric method. The results show that the point density for building ANUDEM with 2 m RMSE of elevation and 5 m grid size should be more than 7 000 points/km2 , while for TINDEM, it should be more than 8 500 points/km2 at 1 ： 100 00 scale level. Moreover, RMSE of elevation keeps stable when the grid size is finer than 20 m and the point density is in the range between 7 400 and 9 400 points/km2.

关 键 词：数字高程模型 数据密度 栅格尺寸 高程中误差 

分 类 号：P208[天文地球—地图制图学与地理信息工程]