【摘要】 提出一种基于扫描线坡度统计的LiDAR滤波算法,该方法根据扫描线内点间距较小、密度较大的特点,将二维滤波转化为一维滤波.在统计扫描线内相邻点间的坡度,设定阈值迭代滤除地物点基础上,采用局部参数化表面拟合进一步将精化候选地面点,用ISPRS提供的参考数据进行实施测试分析,结果表明:可有效处理大面积、复杂城区,为下一步城市的三维重建打下很好的基础.更多还原

【Abstract】 This paper proposes a new filter based on slope statistic to extract the ground points from airborne LiDAR data.For the high point density in scanning line,the method transferred two-dimensional filtering into one-dimensional,which improved the algorithm’s efficiency greatly.Firstly,slope between two points in scanning line had been worked out.By slope statistic,non-ground points were removed.Secondly,curved surface fitting was used to correct the wrong detection of ground points.Reference data sets provided by ISPRS were selected to test the filter based on slope statistic.The data came from city areas.The results showed that the filter can remove most of the non-ground points effectively.更多还原