| 基于三角网滤波检验的KD树粗差剔除法 |
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| 引用本文： | 张雪洋,王竞雪.基于三角网滤波检验的KD树粗差剔除法[J].测绘与空间地理信息,2017,40(11). |
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| 作者姓名： | 张雪洋 王竞雪 |
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| 作者单位： | 辽宁工程技术大学测绘与地理科学学院,辽宁阜新,123000 |
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| 摘 要： | 针对机载Li DAR点云数据的粗差剔除和滤波,直接关系到后续数据处理的精度,本文运用KD树组织数据建立三维索引,快速查找并计算目标点与k个最近邻点的平均距离,根据距离阈值判断并剔除粗差点。实验选取3种典型测区的点云数据进行实验,分别采用形态学粗差剔除法和本文粗差剔除法对3组点云数据进行粗差剔除,并采用渐进不规则三角网滤波法对原始点云数据及两种粗差剔除结果进行滤波,对结果进行对比分析。结果验证,本文方法能有效剔除点云粗差,提高后续滤波结果的精度。
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| 关 键 词： | LiDAR点云 粗差剔除 KD树 滤波 数学形态学 |
TIN Filtering Test Error Elimination Method Based on KD Tree |
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| ZHANG Xue-yang,WANG Jing-xue.TIN Filtering Test Error Elimination Method Based on KD Tree[J].Geomatics & Spatial Information Technology,2017,40(11). |
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| Authors: | ZHANG Xue-yang WANG Jing-xue |
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| Abstract: | The airborne LiDAR point cloud data filtering and detection of outliers is directly related to the subsequent data processing accuracy , this paper uses KD tree to organize the data to establish a three -dimensional index calculation target and k nearest neighbor average distance and fast search , according to the distance threshold and eliminating gross .The experiment selected three typical ex-periment area of point cloud data , respectively for the three groups of point cloud data to eliminate gross errors with gross error elimina -tion method and the gross error elimination morphology , and the incremental triangular irregular network filtering method to the original point cloud data and two kinds of error elimination results of wave filtering , comparison analysis of the results .Verify the method can effectively eliminate the rough error of the point cloud;improve the accuracy of the results of the follow -up filter. |
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| Keywords: | LiDAR point cloud rough difference elimination KD tree filter mathematical morphology |
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