| 基于LiDAR点云数据的可视域计算研究 |
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| 引用本文： | 马宏斌,王柯,马团学. 基于LiDAR点云数据的可视域计算研究[J]. 测绘与空间地理信息, 2015, 0(1): 37-40. DOI: 10.3969/j.issn.1672-5867.2015.01.011 |
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| 作者姓名： | 马宏斌 王柯 马团学 |
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| 作者单位： | 1. 信息工程大学 地理空间信息学院,河南郑州,405000;2. 空降兵研究所,湖北孝感,432000 |
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| 摘 要： | 当前GIS软件中通视分析建立在DEM数据基础上,而DEM中不含植被和建筑物信息,从而会造成通视分析误差。通过Li DAR点云数据获取高精度植被和建筑物高度,提出一种顾及地物的插值算法,生成同一网格大小的DEM与DSM,在其上分别进行通视域分析,并将分析结果进行对比,发现DEM比DSM更容易扩大视域范围,从而产生了分析误差,验证了利用DSM进行通视分析的可行性。
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| 关 键 词： | 激光点云 数字表面模型 数字高程模型 可视域 |
Study on Viewshed Analysis Base on LiDAR Points Cloud Data |
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| MA Hong-bin,WANG Ke,MA Tuan-xue. Study on Viewshed Analysis Base on LiDAR Points Cloud Data[J]. Geomatics & Spatial Information Technology, 2015, 0(1): 37-40. DOI: 10.3969/j.issn.1672-5867.2015.01.011 |
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| Authors: | MA Hong-bin WANG Ke MA Tuan-xue |
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| Affiliation: | MA Hong-bin;WANG Ke;MA Tuan-xue;Institute of Geospatial Information,Information Engineering University;Research institute for Airborne Troops; |
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| Abstract: | Current GIS software all include the common function of viewshed analysis , but they all complete the analysis process basedon raster or TIN DEM data which are bare -earth elevation, not including any vegetation or building information .The analysis resultsgot through this kind of data have many errors .High resolution vegetation and building height data can be estimated by LiDAR pointscloud data.A kind of interpolation considering of surface features nearby is proposed to generate the same cellsize raster DSM andDEM grid.Viewshed centering on the same point on two kind of grid is calculated and displayed .The experiment shows that viewshedcan be improperly enlarged by DEM grid.Meantime, the feasibility of analyzing viewshed based on DSM grid is verified . |
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| Keywords: | LiDAR points cloud DSM DEM viewshed |
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