红外与毫米波学报2017，Vol.36Issue(1)：107-113,7.DOI:10.11972/j.issn.1001-9014.2017.01.019
方向自适应的光子计数激光雷达滤波方法
An adaptive directional filter for photon counting Lidar point cloud data
摘要
Abstract
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 eliminate 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 91.86％ for vegetable points and 97.89％ for ground points.关键词
光子计数/滤波/激光雷达/点云/滤波核Key words
photon counting/denoising/Lidar/point cloud/filter kernel分类
信息技术与安全科学引用本文复制引用
谢锋,杨贵,舒嵘,李铭..方向自适应的光子计数激光雷达滤波方法[J].红外与毫米波学报,2017,36(1):107-113,7.基金项目
国家高技术研究发展计划(2012AA121103)Supported by National High Technology Research and Development Program of China (2012AA121103) （2012AA121103）
