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联立偏度与峰度变化曲线的机载LiDAR点云滤波方法

发布时间:2018-01-12 00:37

  本文关键词:联立偏度与峰度变化曲线的机载LiDAR点云滤波方法 出处:《测绘科学技术学报》2016年01期  论文类型:期刊论文


  更多相关文章: 机载激光雷达 偏度平衡 峰度平衡 变化曲线 曲面拟合


【摘要】:针对经典滤波算法易受参数、阈值选取影响以及传统偏度平衡方法滤波结果不理想等问题,提出一种联立偏度与峰度变化曲线的机载LiDAR点云二次滤波方法。该方法不受参数与阈值选取影响,在联立初始LiDAR点云二者基础上,通过在其变化曲线上寻找最优偏度平衡点完成一次滤波;然后对初次滤波后获取地面点进行多项式曲面拟合,根据拟合后的高差统计值进行偏度平衡二次滤波。实验结果表明:该方法能保证变化很小的前提下,减少和总误差,滤波效果更好。
[Abstract]:The classical filtering algorithm is easy to be affected by parameters, threshold selection, and the traditional bias balance method filtering results are not ideal and so on. An airborne LiDAR point cloud quadratic filtering method based on simultaneous bias and kurtosis variation curves is proposed. The method is independent of the selection of parameters and thresholds and is based on the simultaneous initial LiDAR point clouds. The primary filtering is accomplished by finding the equilibrium point of the optimal deviation on the variation curve. Then the polynomial surface fitting is carried out on the ground points obtained after the first filtering, and the bias balance quadratic filtering is carried out according to the statistical value of the fitted height difference. The experimental results show that this method can guarantee the little change. Reduce and total error, filtering effect is better.
【作者单位】: 中国矿业大学环境与测绘学院;
【基金】:“十二五”农村领域国家科技计划课题(2012BAJ22B00) 江苏高校优势学科建设工程项目(SZBF2011-6-B35)
【分类号】:P237
【正文快照】: 机载激光雷达Li DAR(Light Detection AndRanging)可低成本、快速、大范围实时获取高精度三维点云,被广泛应用到构建数字高程模型DEM(Digital Elevation Model)。然而受复杂地形环境影响,原始点云中通常包含有非地面点,为此需要对其进行滤波处理。经典的滤波算法有数学形态学

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本文编号:1411966


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