The creation of a quality Digital Terrain Model(DTM)is essential for representing and analyzing the Earth in a digital form.The continuous improvements in the acquisition and the potential of airborne Light Detection ...The creation of a quality Digital Terrain Model(DTM)is essential for representing and analyzing the Earth in a digital form.The continuous improvements in the acquisition and the potential of airborne Light Detection and Ranging(LiDAR)data are increasing the range of applications of this technique to the study of the Earth surface.The aim of this study was to determine the optimal parameters for calculating a DTM by using an iterative algorithm to select minimum elevations from LiDAR data in a steep mountain area with shrub vegetation.The parameters were:input data type,analysis window size,and height thresholds.The effects of slope,point density,and vegetation on DTM accuracy were also analyzed.The results showed that the lowest root mean square error(RMSE)was obtained with an analysis window size of 10 m,5 m,and 2.5 m,rasterized data as input data,and height thresholds equal to or greater than 1.5 m.These parameters showed a RMSE of 0.19 m.When terrain slope varied from 010%to 5060%,the RMSE increased by 0.11 m.The RMSE decreased by 0.06 m when point density was increased from 4 to 8 points/m2,and increased by 0.05 m in dense vegetation areas.展开更多
针对目前各种机载点云滤波算法缺乏详细对比的问题,分别从定性和定量两方面对常用的3种滤波算法进行了对比分析,得出了滤波误差最小的滤波方法,以及各滤波算法对不同地形数据的适应情况。利用国际摄影测量与遥感学会(International Soci...针对目前各种机载点云滤波算法缺乏详细对比的问题,分别从定性和定量两方面对常用的3种滤波算法进行了对比分析,得出了滤波误差最小的滤波方法,以及各滤波算法对不同地形数据的适应情况。利用国际摄影测量与遥感学会(International Society for Photogrammetry and Remote Sensing,ISPRS)提供的标准滤波数据进行实验。结果表明,6组实验数据中,布料模拟滤波算法的总误差都是最小的;对于平坦地形数据,布料模拟滤波算法最合适,对于地形起伏的复杂地形数据,布料模拟滤波算法和渐进三角网滤波算法总误差值接近,但后者的滤波时间更短。展开更多
基金This research has been supported by Vice-Rectorate for Research of Universidad Polite´cnica de Valencia(Grant PAID-06-08-3297).
文摘The creation of a quality Digital Terrain Model(DTM)is essential for representing and analyzing the Earth in a digital form.The continuous improvements in the acquisition and the potential of airborne Light Detection and Ranging(LiDAR)data are increasing the range of applications of this technique to the study of the Earth surface.The aim of this study was to determine the optimal parameters for calculating a DTM by using an iterative algorithm to select minimum elevations from LiDAR data in a steep mountain area with shrub vegetation.The parameters were:input data type,analysis window size,and height thresholds.The effects of slope,point density,and vegetation on DTM accuracy were also analyzed.The results showed that the lowest root mean square error(RMSE)was obtained with an analysis window size of 10 m,5 m,and 2.5 m,rasterized data as input data,and height thresholds equal to or greater than 1.5 m.These parameters showed a RMSE of 0.19 m.When terrain slope varied from 010%to 5060%,the RMSE increased by 0.11 m.The RMSE decreased by 0.06 m when point density was increased from 4 to 8 points/m2,and increased by 0.05 m in dense vegetation areas.
文摘针对目前各种机载点云滤波算法缺乏详细对比的问题,分别从定性和定量两方面对常用的3种滤波算法进行了对比分析,得出了滤波误差最小的滤波方法,以及各滤波算法对不同地形数据的适应情况。利用国际摄影测量与遥感学会(International Society for Photogrammetry and Remote Sensing,ISPRS)提供的标准滤波数据进行实验。结果表明,6组实验数据中,布料模拟滤波算法的总误差都是最小的;对于平坦地形数据,布料模拟滤波算法最合适,对于地形起伏的复杂地形数据,布料模拟滤波算法和渐进三角网滤波算法总误差值接近,但后者的滤波时间更短。
