方向自适应的光子计数激光雷达滤波方法

TP79%TN958.98; 提出一种自适应滤波方向的光子计数激光雷达点云滤波方法,定义了一种可调节主滤波方向的滤波核,通过遍历得到最佳滤波方向的密度值并剔除远离地物的噪声点,根据密度值与邻域内其它点的密度值差值剔除接近地物的噪声点.通过实验数据对算法进行了验证,结果表明算法能有效剔除与地面非常接近的噪声点,适用于低密度地物点云的滤波处理,其中植被滤波精度91.86％,地面点滤波精度97.89％....

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Bibliographic Details
Published in红外与毫米波学报 Vol. 36; no. 1; pp. 107 - 113
Main Author 谢锋 杨贵 舒嵘 李铭
Format Journal Article
LanguageChinese
Published 中国科学院上海技术物理研究所中国科学院主动光电实验室,上海,200083 2017
Subjects
光子计数
滤波
滤波核
激光雷达
点云
激光雷达
denoising
滤波
点云
滤波核
photon counting
Lidar
point cloud
filter kernel
光子计数
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ISSN1001-9014
DOI10.11972/j.issn.1001-9014.2017.01.019

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Summary:TP79%TN958.98; 提出一种自适应滤波方向的光子计数激光雷达点云滤波方法,定义了一种可调节主滤波方向的滤波核,通过遍历得到最佳滤波方向的密度值并剔除远离地物的噪声点,根据密度值与邻域内其它点的密度值差值剔除接近地物的噪声点.通过实验数据对算法进行了验证,结果表明算法能有效剔除与地面非常接近的噪声点,适用于低密度地物点云的滤波处理,其中植被滤波精度91.86％,地面点滤波精度97.89％.
Bibliography:photon counting, denoising, Lidar, point cloud, filter kernel
XIE Feng, YANG Gui , SHU Rong, LIMing （ Key Lab of Spatial Active Opto-Electronic Techniques, Shanghai Insitute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China）
31-1577/TN
An adaptive directional filter method was proposed for the photon counting Lidar point cloud data. The method defines a filter kernel with its main filter direction adjustable. The density of the best filter direction were achieved by traverse and the noise points away from the objects were removed. The noise points adjacent to the objects were eliminated according to the density difference between the point and points in its neighborhood. The filtering method provide here is validated through the point cloud data obtained in an aerial experiment. The results show that the filtering method is able to elimi- nate the noise points very close to the ground effectively and is fit for the low density object point cloud recognition, while the filter accuracy is 9
ISSN:1001-9014
DOI:10.11972/j.issn.1001-9014.2017.01.019