机载激光雷达海洋测深信号提取方法研究  

Extraction method of ocean sounding signal by airborne LiDAR

作　　者：周耿彬 ZHOU Gengbin(Natural Resources Surveying and Mapping Center of Chaonan District,Shantou,Guangdong 515144,China)

机构地区：[1]广东省汕头市潮南区自然资源测绘中心,广东汕头515144

出　　处：《测绘技术装备》2022年第4期26-32,共7页Geomatics Technology and Equipment

摘　　要：随着海洋资源在经济建设中发挥着越来越重要的作用,海洋测绘的应用前景也越来越广阔。目前,受传感器技术及海洋环境的影响,海岸带测绘的密度、精度及效率差强人意,阻碍了经济开发。相较于其他测深技术,机载激光雷达(Light Detection and Ranging,LiDAR)海洋测深技术在海岸带测绘领域拥有其独特的优势。本文在分析测深回波信号特征的基础上,探索了基于全局列文伯格-马夸尔特(Levenberg-Markuardt,LM)收敛的波形分解算法,提出了极值点和波峰筛选策略,以削弱噪声的影响。同时,将去卷积法与全局LM收敛相结合,构建了一种新的波形分解算法,并利用模拟数据和实测数据开展了试验,验证了本文方法能显著提高水面、水底信号提取的检测率和精度。Since the marine resources playing an increasingly important role in economic development,the application of marine surveying and mapping is also increasingly wide.At present,the density,accuracy and efficiency of coastal zone mapping are not satisfactory due to the influence of sensor technology and ma⁃rine environment,which greatly hinders the economic development.Compared with other sounding technol⁃ogies,LiDAR ocean sounding technology has its unique advantages in coastal zone mapping.On the basis of analyzing the echo signal characteristics of sounding,this paper explores the waveform decomposition algorithm based on global LM convergence,and it proposes the method of extreme point and wave crest screening to reduce the influence of noise.Meanwhile,a new waveform decomposition algorithm is developed by combining the deconvolution method with the global LM convergence,and experiments are carried out with simulated data and measured data,which verify that the method in this paper can significantly improve the detection rate and accuracy of water surface and underwater signal extraction.

关 键 词：激光雷达测深 波形分解 高斯分解 全局列文伯格-马夸尔特收敛 去卷积法 

分 类 号：P229[天文地球—大地测量学与测量工程]