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Accuracy Evaluation and Gross Error Detection in Digital Elevation Models Based on LIDAR Data

机译:基于LIDAR数据的数字高程模型的精度评估和粗差检测

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With the LIDAR data more wide use in DEM products,especially in urban area DEM modeling,the research on Grid DEM with LIDAR data is more and more urgent.Also users are more desired to acquaint themselves with LIDAR data,especially to know more about the accuracy of Grid DEM based on LIDAR data.Therefore,it is rather necessary to explore the matter of accuracy of DEM based on LIDAR data.In this paper,firstly,the method of local detection with moving windows are introduced to detect and eliminate discrete errors,which will purify LIDAR data for later DEM modeling;secondly,with the rest regular ground points,via fitting second degree curved surface under the least square criteria and interpolating grid points,the finer Grid DEM based on LIDAR data would be generated;finally,RMSE will be hired to analyze the precision of previous Grid DEM.As a case study,4000 LIDAR points preprocessed have been selected to test the method and has proved that the method is feasible.Through the experiment,the accuracy of DEM based on LIDAR data proves to be approximately 0.6m.The precision will be convenient for users to make best use of LIDAR data and be conducive to the actual applications of LIDAR data.
机译:随着LIDAR数据在DEM产品中的广泛应用,尤其是在城市DEM建模中,使用LIDAR数据进行网格DEM的研究变得越来越紧迫。用户也更加希望了解LIDAR数据,尤其是要了解更多有关LIDAR数据的知识。因此,有必要探讨基于LIDAR数据的DEM精度问题。本文首先介绍了一种带有移动窗口的局部检测方法,以检测和消除离散误差。 ,这将为以后的DEM建模提纯LIDAR数据;其次,在其余规则的地面点的情况下,通过在最小二乘准则下拟合二度曲面并插补网格点,将生成基于LIDAR数据的更精细的Grid DEM;最后,作为一个案例研究,选择了4000个激光雷达点进行了测试,证明了该方法的可行性。事实证明,基于LIDAR数据的DEM精度约为0.6m,该精度将方便用户充分利用LIDAR数据,有利于LIDAR数据的实际应用。

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