基于激光点云数据的地形地貌测量研究
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西安航空职业技术学院 西安 710089

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TP217

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Topographic and geomorphic measurement based on laser point cloud data
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Xi’an Aeronautical Polytechnic Institute, Xi’an 710089 China

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    摘要:

    针对在实际测量地形地貌时激光数据过滤误差较大的问题,设计了基于激光电云数据的地形地貌测量及处理方法。采集激光点云数据,结合公共标靶法与最小二乘法补全点云数据且自动过滤非地面数据,对激光点云数据的平面坐标与高程实施转换,生成待测区域的地形地貌等高线,实现该区域的地形地貌测量。通过实验验证设计方法性能,结果表明,该方法可实现分散站点激光点云数据的拼接与过滤处理,过滤性能稳定且过滤误差较低,平均为2.1%,可精准测量实验地区的地形地貌,坐标值误差平均为0.187,满足实际应用中的地形地貌高精度测量需求。

    Abstract:

    Aiming at the problem of large filtering error of laser data when actually measuring topography, a topographic survey and processing method based on laser electric cloud data is designed. Collecting laser point cloud data, combining public target method and least square method to complete the point cloud data and automatically filter non-ground data, transforming the plane coordinates and elevation of laser point cloud data, generating topography contour lines of the area to be measured, and realizing topography measurement of the area. The performance of the design method is verified by experiments. The results show that the method can realize the splicing and filtering processing of laser point cloud data at scattered stations, and the filtering performance is stable and the filtering error is low, with an average of 2.1%. It can accurately measure the topography of the experimental area, with an average coordinate error of 0.187, which meets the needs of high-precision measurement of topography in practical applications.

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田方.基于激光点云数据的地形地貌测量研究[J].电子测量技术,2021,44(1):15-19

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