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基于随机过程的格网DEM精度场模型

卢华兴1,刘学军2,晋蓓3   

  1. 1. 东南大学
    2. 南京师范大学虚拟地理环境教育部重点实验室
    3. 南京师范大学
  • 收稿日期:2011-02-14 修回日期:2011-07-31 出版日期:2012-04-25 发布日期:2012-04-25
  • 通讯作者: 卢华兴

Stochastic Process Based Accuracy Field Model for Grid DEM

  • Received:2011-02-14 Revised:2011-07-31 Online:2012-04-25 Published:2012-04-25

摘要: 针对目前DEM格网精度从理论上难于统一量化描述问题,提出一种基于随机过程的格网DEM(grid digital elevation model, grid DEM)精度场模型,该模型从随机过程理论入手,借助DEM的统一插值模型,建立了DEM两类误差(噪声误差和逼近误差)的数学表达,并分析了构成DEM误差的各个分量的数学意义。与已有的模型相比,该模型实现了传统DEM两类误差的统一描述,此外,该模型适用任意插值方式生成的格网DEM的精度评价。

Abstract: Digital Elevation Model (DEM) is known as the important GIS foundational data used in geo-simulation and terrain analysis, and its accuracy especially local accuracy have gained widespread research ever since DEM concept was proposed in 1958. This paper proposed an accuracy field model based on stochastic process method to estimate the DEM grid accuracy. Compared with traditional models, the model proved two kinds of DEM errors (noise error and approximate error) can be evaluated with uniform mathematical description, which further revealed the mathematic meaning for each components that made up of DEM error; As to application aspect,the model has sound versatility that can adapt to all error assessing on condition that build grid DEM using interpolation method.