| 基于LiDAR点云数据索引的DEM快速提取 |
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| 引用本文： | 张齐勇,岑敏仪,杭芬,付仁俊.基于LiDAR点云数据索引的DEM快速提取[J].测绘科学,2010,35(3):69-70,73. |
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| 作者姓名： | 张齐勇 岑敏仪 杭芬 付仁俊 |
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| 作者单位： | 西南交通大学,土木工程学院测量工程系,成都,610031;中交第二航务工程勘察设计院有限公司,武汉,430071 |
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| 摘 要： | DEM应用日趋广泛,从LiDAR点云数据中提取DEM是一种满足应用需求的简单有效方法。由于Li-DAR点云数据的庞大性,直接提取DEM效率不高。为了提高对点云数据处理的效率,本文探索应用索引技术来优化LiDAR点云数据的处理,生成高精度DEM。该方法首先对LiDAR原始数据点建立网格分块索引;然后再利用形态学的方法对LiDAR原始数据进行滤波处理;最后用逐点内插方法生成DEM。实验结果表明应用空间数据索引技术极大地提高了点云数据滤波与DEM生成的效率。
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| 关 键 词： | 激光扫描测距 空间索引 形态学滤波 内插 数字高程模型 网格分块索引 |
Quickly extracting DEM from LiDAR data based on spatial data index |
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| ZHANG Qi-yong,CEN Min-yi,HANG Fen,FU Ren-jun.Quickly extracting DEM from LiDAR data based on spatial data index[J].Science of Surveying and Mapping,2010,35(3):69-70,73. |
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| Authors: | ZHANG Qi-yong CEN Min-yi HANG Fen FU Ren-jun |
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| Abstract: | DEM is used widely. Generating DEM from high density LiDAR data becomes a simple and effective method. Because the LiDAR data is enormous, extracting DEM from LiDAR data will cost a lot of time. To improve the efficiency of the data processing, this paper discusses a method that optimizing LiDAR data using spatial index technology for generating high quality DEM. The grid index of original LiDAR data was built at first Then a morphological filtering operation was applied to the LiDAR data Finally, a DEM was generated using point-by-point interpolation. The presented work shows that using spatial data index can improve the efficiency of filtering and DEM generation greatly. |
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| Keywords: | LiDAR spatial index morphological filtering interpolation DEM grid index |
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