摘要
针对传统LiDAR测深波形拟合算法受噪声干扰严重、对微弱回波信号及复杂波形拟合不准确的问题,提出一种基于广义高斯模型的波形拟合算法。首先通过计算滤波前后尾段波形的差异估计波形的噪声;然后利用广义高斯模型提取海面与海底反射信号分量,并对剩余信号进行迭代拟合;最后利用LM算法对参数进行优化,并对优化后的参数进行约束,避免冗余分量。采用南海实测数据进行验证,该算法拟合微弱回波及复杂波形能力强,不论在浅水(回波发生叠加)还是深水,其拟合精度均优于传统算法,具有良好的鲁棒性。
Traditional waveform fitting algorithms are not robust to noise.Moreover,these algorithms cannot detect water column scatter or weak signal and complex waveform shapes accurately.To overcome these problems,a method based on generalized Gaussian model is proposed.First,the algorithm estimates noise by calculating the difference between the last part of the original waveform and the filtered waveform.Then,it uses the generalized Gauss model to extract surface and bottom reflection signals,and to simulate the residual signal by iterating.At last,the parameters are optimized using the LM algorithm.In order to avoid redundant components,this paper gives some constraints.This algorithm is tested by measured data from the South China Sea,and it can detect weak signals and complex shapes.Whether in shallow or deep water,the fitting precision of this algorithm is better than traditional algorithms and it presents robustness.
作者
王贤昆
阳凡林
张汉德
宿殿鹏
董梁
王明伟
WANG Xiankun;YANG Fanlin;ZHANG Hande;SU Dianpeng;DONG Liang;WANG Mingwei(College of Geomatics,Shandong University of Science and Technology,Qingdao 266590,China;Key Laboratory of Surveying and Mapping Technology on Island and Reef,NASMG,Qingdao 266590,China;Northern Sea Airborne Detachment,China Marine Surveillance,Qingdao 266061,China)
出处
《大地测量与地球动力学》
CSCD
北大核心
2018年第11期1180-1185,共6页
Journal of Geodesy and Geodynamics
基金
国家自然科学基金(41376108)
国家重点研发计划(2016YFB0501705)~~
关键词
广义高斯模型
机载测深LiDAR
双高斯拟合
generalized Gaussian model
airborne LiDAR bathymetry
double-Gaussian fitting
