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设计了一种点云数据快速处理自动生成DEM的算法,介绍了滤波结果的评价方法以及通过标准DEM评价内插的DEM整体精度的方法;并选用河北承德地区的机载激光LiDAR点云数据进行了实验。结果表明,数据处理结果具有较高的精度,为激光点云数据自动生成DEM提供了一种有效的技术途径。
Abstract:This paper designed an advanced workflow and algorithm for the rapid processing of point cloud data. The paper introduced the assessment method that used in filtering result. The accuracy assessment was proposed via comparing the standard DEM with the results of interpolated DEM. And then, the paper took the airborne LiDAR point cloud data in Chengde for example. The experimental result shows that the data processing results have high accuracy. The study can provide an effective way for generating DEM automatically by LiDAR point cloud data.
[1]全晓萍,宋志勇.基于DEM 数据的地形分析研究与实现[J].科技信息,2007(28):345-349
[2]曹敏,史照良.新一代海量影像自动处理系统“像素工厂”初探[J].测绘通报,2006(10):55-58
[3]邹晓亮,缪剑,张永生,等.基于像素工厂的无人机影像空三优化技术[J]测绘科学技术学报,2012,29(5):362-367
[4]余洁,张国宁,秦昆,等. Li DAR数据的过滤方法探讨[J].地理空间信息,2006,4(4):8-10
[5]赖旭东.机载激光雷达基础原理与应用[M].北京:电子工业出版社,2010:37-99
[6]Sithole G, Vosselman G. Experimental Comparison of Filter Algorithms for Bare-earth Extraction from Airborne Laser Scanning Point Clouds[J]. ISPRS Journal of Photogrammetry & Remote Sensing,2004,59(1/2):85-101
[7]LIU X Y, GUO Q H, SU Y J, et al. Airborne Li DAR for DEM Generation: Some Critical Issues[J].Progress in Physical Geography,2008,32(1):31-49
[8]Vieira S R,Hatfield J I, Nielsen D R, et al. Geostatistical Theory and Application to Variability of Some Agronomical Properties[J].Hilgardia,1983, doi:10.3733/hilg.v51n03p075
[9]王政权.地统计学及在生态学中的应用[M].北京:科学出版社,1999:102-132
基本信息:
中图分类号:P208;P23
引用信息:
[1]赵桂华,邹晓亮,郭丽.机载LiDAR点云数据自动生成DEM的方法与精度评价[J].地理空间信息,2017,15(09):9-12+7.
基金信息:
西安科技创新工作站资助项目(2014-CX0452)
2017-09-19
2017-09-19
2017-09-19