基于改进微分增强法的激光雷达云参数反演算法  

LiDAR cloud parameter inversion algorithm based on improved differential enhancement method

作　　者：王博业 臧磊 李想 孟园园 周妹 陈思成 常建华[1,2] WANG Bo-ye;ZANG Lei;LI Xiang;MENG Yuan-yuan;ZHOU Mei;CHEN Si-cheng;CHANG Jian-hua(School of Electronic and Information Engineering,Nanjing University of Information Science&Technology,Nanjing 210044,China;Collaborative Innovation Center of Atmospheric Environment and Equipment Technology,Nanjing University of Information Science&Technology,Nanjing 210044,China)

机构地区：[1]南京信息工程大学电子与信息工程学院,江苏南京210044 [2]南京信息工程大学江苏省大气环境与装备技术协同创新中心,江苏南京210044

出　　处：《激光与红外》2023年第6期822-829,共8页Laser & Infrared

基　　金：国家自然科学基金项目(No.61875089;No.62175114);江苏省高等学校大学生创新创业训练计划项目(No.202110300055)资助。

摘　　要：微分法是激光雷达云参数反演的一类传统方法,本文在微分增强法的基础上,优化一阶与二阶微分信号的拟合点数,平衡失真与噪声对检测结果的影响。以距离修正的回波信号代替云峰与云边界函数中的原始回波信号,增强云区域与非云区域的对比。对于因低层云存在而造成二次阈值过大的问题,通过扩大一次阈值的排除区间,有效减少对云层的漏判情况。采用激光雷达数据进行的实验结果表明,与改进前的算法相比,云底高度的相关系数由08930提高至09328,均方根误差由04924km降低至02991km,云顶高度的相关系数由08174提高至08598,均方根误差由07637km降低至05912km,改进后的算法具备更佳的反演结果。The differential method is a traditional method for LiDAR cloud parameter inversion.In this paper,based on the differential enhancement method,the numbers of fitting points of the first order and second order differential signals are optimized to balance the effects of distortion and noise on the detection results.The distance corrected echo signal is used to replace the original echo signal in the cloud peak and cloud boundary functions to enhance the contrast between the cloud and non cloud regions.For the problem of excessive secondary thresholds due to the presence of low level clouds,the exclusion interval for primary thresholds is expanded to effectively reduce the missed detection of clouds.The experiment results using LiDAR data show that the correlation coefficient of cloud bottom height is improved from 0.8930 to 0.9328,and the root mean square error is reduced from 0.4924km to 0.2991km.The correlation coefficient of cloud top height is improved from 0.8174 to 0.8598,and the root mean square error is reduced from 0.7637km to 0.5912km,which proves that the improved algorithm has better inversion results.

关 键 词：激光雷达 大气光学 云层检测 微分增强法 

分 类 号：P413[天文地球—大气科学及气象学] TN958.98[电子电信—信号与信息处理]