一种改进的基于平面拟合的机载LiDAR点云滤波方法  

An Improved Plane Fitting based Filtering Algorithm for Airborne LiDAR Data

作　　者：陈磊[1] 赵书河[1] 

机构地区：[1]南京大学地理与海洋科学学院,江苏南京210093

出　　处：《遥感技术与应用》2011年第1期117-122,共6页Remote Sensing Technology and Application

基　　金：现代工程测量国家测绘局重点实验室开发基金资助项目(TJES1005);国家自然科学基金项目(40501047)联合资助

摘　　要：在分析现有方法优劣的基础上,提出一种改进的基于平面拟合的机载LiDAR点云滤波方法。首先基于区域生长算法对重采样的LiDAR数据图像分割,提取最大连通区域为初始地面,然后基于坡度阈值剔除初始地面内的地物点,最后对筛选后的地面点克里金插值实现滤波。采用国际摄影测量与遥感学会(ISPRS)提供的测试数据进行实验,研究了设置不同坡度阈值对滤波结果产生的影响。结果表明,坡度阈值取0.5时滤波效果最优,整体错误率仅为4.29%。与传统的基于平面拟合的滤波方法相比较,该方法更简单实用。Due to the strengths and weaknesses of the existing filtering methods,an improved plane fitting algorithm is presented for filtering of airborne LiDAR data.Firstly,resampled LiDAR data were segmented using region growing method,and then the largest connected region was selected as the initial ground area.Secondly,non-ground points in the initial ground area were removed by a slope threshold.Finally,the ground points were interpolated using Kriging method and the filtering results were gained.The dataset provided by International Society for Photogrammetry and Remote Sensing（ISPRS） were selected as the test data.The influences of different slope thresholds on the filtering results were given after filtering experiments.The result shows that the optimal filtering effect is the best when the slope threshold sets to 0.5.The overall error rate can be only 4.29%.Contrast to the traditional filtering method based on plane fitting,the proposed method is more simple and practical.

关 键 词：LIDAR 平面拟合 滤波 区域生长 

分 类 号：TN958.98[电子电信—信号与信息处理]