多通道光子计数激光雷达信息快速提取技术

Fast Extraction Technology of Multichannel Photon Counting LiDAR Information

光子计数激光雷达由于高灵敏度特性使得获取的回波数据存在大量噪声,对数据进行信号鉴别、相关噪声去除是后续进行三维点云数据应用的前提,因此快速提取信号光子具有很大的实际意义。上海技术物理研究所自主研发多通道光子计数激光雷达,对近海面进行数据采集。本实验对局部距离统计去噪算法进行改进,用于预处理后的数据去噪。将改进后算法与改进前算法和两种基于聚类的经典算法进行对比,实验结果表明,所提算法去噪精度为97.80%,运行时间为0.46 s,优于改进前算法和两种基于聚类的算法,满足多通道光子计数激光雷达信息快速提取的实际需求。

Due to the high sensitivity of photon counting LiDAR,there is a lot of noise in the collected echo data.Signal identification and removal of relevant noise are the prerequisites for the subsequent application of three-dimensional point cloud data.As a result,a quick extraction of the signal photons is extremely important in practice.Shanghai Institute of Technical Physics independently developed multichannel photon counting LiDAR to collect data near sea surface.In this experiment,after preprocessing,we first enhanced the local distance statistical denoising technique.The enhanced algorithm was then compared with the original algorithm and two classical clustering-based algorithms.The findings demonstrate that the proposed algorithm has a noise removal accuracy of 97.80%and running time of 0.46 s,which are superior to that of the original algorithm and two clustering-based algorithms;it,thus,meets the practical requirements for the fast extraction of multichannel photon counting LiDAR information.