摘要
针对当前城区车载LiDAR点云算法存在部分参数不易把握、需要多次人机交互、部分要素提取效果不好等问题,该文提出一种改进的TIN迭代加密滤波算法。首先,构建初始格网选取种子点,在选取种子点方面,采用邻域卷积和进行种子点的判断和虚拟种子点的构造;其次,进行TIN迭代加密滤波;最后根据滤波次数改变格网大小进行迭代滤波。采用SSW获取的北京城区某地点云数据进行试验,将实验结果与原始的TIN加密算法进行对比,并与其他两种滤波方法进行对比,结果表明,改进的方法能较好的适应城区情况,且能弥补其他方法的不足。
The classical filtering methods of airborne LiDAR point clouds have to be practical and appropriately improved, then they could be applied to the filtering of vehicle LiDAR point clouds. According to the characteristics of the urban vehicle LiDAR point clouds, an improved TIN iterative encryption algorithm was proposed in this paper. First, the initial mesh was built to select seeds, in the seeds selection, the sum of neighborhood convolution was applied to judge the seed point and structure the virtual point; second, TIN iterative encryption filtering was done; finally, according to the number of iterative filtering, the size of mesh was changed. By using the vehicle LiDAR point clouds in Beijing urban area acquired by SSW, compared with the original TIN encryption algorithm and two other kinds of filtering methods, the results showed that the improved method could be adapted to the city better, and make up for the shortcomings of other methods.
出处
《测绘科学》
CSCD
北大核心
2016年第9期136-139,46,共5页
Science of Surveying and Mapping
基金
国家科技支撑计划项目(2012BAH34B00)
中央高校优秀青年教师专项资金(CUGL130257)
