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

  • 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。

     

    Abstract: 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.

     

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