An Adaptive SVP Simplification Based on Area Difference  

作　　者：Gen ZHENG Jianhu ZHAO Hongmei ZHANG 

机构地区：[1]School of Geodesy and Geomatics,Wuhan University,Institute of Marine Science and Technology,Wuhan University,Wuhan 430079,China [2]School of Electrical Engineering and Automation,Wuhan University,Wuhan 430072,China

出　　处：《Journal of Geodesy and Geoinformation Science》2019年第4期53-63,共11页测绘学报（英文版）

摘　　要：Sound velocity profile(SVP)data is indispensable in the multi-beam data processing.The sampling density is of great importance for SVP to represent the vertical variation of sound velocity accurately and guarantee the accuracy of sound ray tracing(SRT).However,the SVP also affects the SRT efficiency significantly,especially in deep-sea multi-beam sounding data processing.To improve SRT efficiency and ensure SRT accuracy,an adaptive SVP simplification method based on area difference is proposed in this article.Firstly,the relationship between the area difference of the raw SVP and the simplified one and SRT bias is studied,and the relationship model of them is built.Then,by considering the constraint of SRT accuracy,the SVP simplification method and the simplifying SVP procedure SVP are given.Finally,a deep water experiment is conducted to verify the proposed method.Compared to the existing method,the proposed method improves the robustness,feasibility of SVP simplification as well as the accuracy and efficiency of SRT.

关 键 词：sound velocity profile(SVP)simplification area difference equivalent SVP sound ray tracing(SRT)bias maximum offset of sound velocity(MOV) 

分 类 号：P229[天文地球—大地测量学与测量工程]