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Position: Home > Articles > Determination of DEM Based on Multiple-Echo Data of Airborne LiDAR in Mountainous Wooded Area Using Discriminant Analysis Scientia Silvae Sinicae 2011,47 (12) 106-113

多回波机载LiDAR数据提取林地DEM的判别分析方法

作  者：
尹艳豹;唐守正;郎璞梅;高瑞馨
单  位：
东北林业大学林学院;中国林业科学研究院资源信息研究所;东北林业大学生命科学学院
关键词：
机载激光雷达;数字高程模型(DEM);判别分析;多重回波
摘  要：
选取包含明显空地的林地作为建模样地,通过对其激光点云单次和多次回波数据的三维空间坐标分布、反射强度分布和垂直分布3方面特征进行探讨,进而提出基于判别分析的林地DEM提取方法。取林木郁闭并实测了大量(1472个)地面控制点的验证样地加以检验。结果表明:对山区林地林木复杂环境的DEM提取采用判别分析的方法是可行的,其精度达到高差总平均值0.24m,方差0.05,高差处于-0.5～0.5m之间的数据占总量的93.85%;与直接的网格窗口划分DEM滤波模拟对照比较,其结果较优。
译  名：
Determination of DEM Based on Multiple-Echo Data of Airborne LiDAR in Mountainous Wooded Area Using Discriminant Analysis
作  者：
Yin Yanbao1 Tang Shouzheng2 Lang Pumei2 Gao Ruixin3(1.School of Forestry,Northeast Forestry University Harbin 150040;2.Research Institute of Forest Resources Information Techniques,CAF Beijing 100091;3.School of Life Sciences,Northeast Forestry University Harbin 150040)
关键词：
airborne LiDAR;digital elevation model(DEM);discriminant analysis;multiple echo
摘  要：
Forest land with obvious open space was selected as modeling sample plot.The single-and multiple-echo airborne LiDAR data of the sample plot were obtained and analyzed in terms of three-dimensional coordinates distribution,reflection intensity distribution and vertical distribution.The forest digital elevation model(DEM) extraction method was developed using discriminant analysis.A closed forest with a large number of control points was selected for model validation.A total of 1 472 control points were measured.Results showed that it is feasible to extract DEM in the complex environment of the mountain forest using discriminant analysis method with variance of 0.05.Its accuracy can reach mean elevation difference 0.24 m.Data with elevation difference between-0.5 m and 0.5 m amounted for 93.85% of the total.The results from this study was compared to the ones obtained using direct grids/windows segmentation.It indicated that this method could have better simulation results.

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