基于改进的角度偏差法算法的激光测量数据精简
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自治州重大专项基金资助项目(2018NC1001-2)


Laser Measurement Data Reduction Based on an Improved Algorithm of Angle Deviation
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    摘要:

    针对激光测量的点云数据过大而导致计算机的运行速度缓慢和资源浪费等问题,在角度偏差法存在缺陷的基础上,提出将点曲率、角度和距离相结合的角度距离法对激光测量数据进行精简。该方法将点曲率变化与角度阈值变成一个能依据数据点曲率大小的调整自身数据大小的函数,并联合最小距离法设定距离阈值,对大于阈值的数据点保留。实验结果表明,该方法能有效保留曲率值大的点,防止出现断点,且在精简效果上,精度与精简数据都优于角度偏差法的。

    Abstract:

    In view of the problem that the hugeness of the point cloud data of laser measurement normally leads to the slow running speed of computer and the waste of resources, and based on the defect of angle deviation method, an angle distance method, combining the point curvature, angle and distance together, has been proposed to simplify the laser measurement data. The proposed method changes the point curvature and the angle threshold into a function that can adjust the data size according to the curvature of the data points. Meanwhile, in combination with the minimum distance method, it sets the distance threshold, with the data points larger than the threshold preserved. The experimental results show that this method can effectively retain the points with large curvature value without breakpoints, which verifies the fact that accuracy and reduction data are better than angle deviation method in reduction effect.

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俞 毅,孙 晓,袁锦龙,杨加兵,曾凡康.基于改进的角度偏差法算法的激光测量数据精简[J].湖南工业大学学报,2020,34(3):33-38.

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  • 收稿日期:2019-07-01
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  • 在线发布日期: 2020-05-26
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