武汉大学—郑根 |《测绘学报(英文版)》高被引文章推荐
- 2026-10-08 19:12:17
武汉大学—郑根 |《测绘学报(英文版)》高被引文章推荐
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. 
初审：段鹏丽 复审：余易举 终审：宋启凡 
《测绘学报（英文版）》“人工智能与遥感科学交叉前沿”专刊征稿函 陈军院士：实景三维中国的总体架构与主体技术 同济大学测绘与地理信息学院2026年度长聘教职体系人事招聘启事 重庆市地理信息和遥感应用中心—敖影 |《测绘学报(英文版)》高被引文章推荐 
Title l 题目
- An Adaptive SVP Simplification Based on Area Difference
Citation l 引文格式
ZHENG Gen, ZHAO Jianhu, ZHANG Hongmei. An Adaptive SVP Simplification Based on Area Difference[J]. Journal of Geodesy and Geoinformation Science, 2019, 2(4): 53-63. DOI： 10.11947/j.JGGS.2019.0406.
Abstract l 摘要
Key Words l 关键词
sound velocity profile (SVP) simplification; area difference; equivalent SVP; sound ray tracing (SRT)bias; maximum offset of sound velocity(MOV)
Authors l 作者
ZHENG Gen, ZHAO Jianhu, ZHANG Hongmei.
Full Paper | 全文如下
本文选自JGGS 2019, Volume 2, Issue 4, P53-63。点击阅读原文即可下载。
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