Application of pseudo-3D sub-bottom profile imaging technology in small submarine target detection

IF 2.3 4区 地球科学
Tianguang Li, Zhiqing Huang, Xiaobo Zhang, Fansheng Meng, Yifan Pei, Jiali Guo
{"title":"Application of pseudo-3D sub-bottom profile imaging technology in small submarine target detection","authors":"Tianguang Li, Zhiqing Huang, Xiaobo Zhang, Fansheng Meng, Yifan Pei, Jiali Guo","doi":"10.1007/s11600-024-01343-1","DOIUrl":null,"url":null,"abstract":"<p>The sub-bottom profiler is a valuable tool for obtaining high-resolution shallow stratigraphic data in marine geological and geophysical surveys. To detect and acquire the structural characteristics of small submarine objects, we developed a data processing method that utilizes 2D data to construct a 3D structural model. We conducted application experiments using sub-bottom profile detection data from Chuanshan Islands, which were explored using China’s most advanced unmanned exploration platform and commercial shallow formation profiling system. To create high-resolution 3D seafloor structure models from recorded 2D sub-bottom profile datasets, an optimized data processing sequence was devised, comprising two stages: 2D data processing and 3D data processing. The 2D data processing stage involved spectrum analysis, band-pass filtering, matching filtering, time-varying gain, and surge correction. The subsequent 3D data processing stage encompassed ping location reallocation, static correction, and extraction of feature layer information. Notably, the final pseudo-3D sub-bottom profile time slice exhibited significant amplitude variations near the target body. This methodology represents an extension of the application of 2D sub-bottom profile data, enhancing the target recognition capabilities of such data. To further improve the precision of target body characterization, we used ArcScene 10.0 to create a 3D sub-bottom profile formation model spatial database. We constructed a submarine 3D formation structure model to show the 3D structural characteristics of the target body in detail and identified a seabed target body measuring 6.4 × 9.2 × 10 m.</p>","PeriodicalId":6988,"journal":{"name":"Acta Geophysica","volume":"877 1","pages":""},"PeriodicalIF":2.3000,"publicationDate":"2024-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Acta Geophysica","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1007/s11600-024-01343-1","RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The sub-bottom profiler is a valuable tool for obtaining high-resolution shallow stratigraphic data in marine geological and geophysical surveys. To detect and acquire the structural characteristics of small submarine objects, we developed a data processing method that utilizes 2D data to construct a 3D structural model. We conducted application experiments using sub-bottom profile detection data from Chuanshan Islands, which were explored using China’s most advanced unmanned exploration platform and commercial shallow formation profiling system. To create high-resolution 3D seafloor structure models from recorded 2D sub-bottom profile datasets, an optimized data processing sequence was devised, comprising two stages: 2D data processing and 3D data processing. The 2D data processing stage involved spectrum analysis, band-pass filtering, matching filtering, time-varying gain, and surge correction. The subsequent 3D data processing stage encompassed ping location reallocation, static correction, and extraction of feature layer information. Notably, the final pseudo-3D sub-bottom profile time slice exhibited significant amplitude variations near the target body. This methodology represents an extension of the application of 2D sub-bottom profile data, enhancing the target recognition capabilities of such data. To further improve the precision of target body characterization, we used ArcScene 10.0 to create a 3D sub-bottom profile formation model spatial database. We constructed a submarine 3D formation structure model to show the 3D structural characteristics of the target body in detail and identified a seabed target body measuring 6.4 × 9.2 × 10 m.

Abstract Image

伪三维海底剖面成像技术在小型潜艇目标探测中的应用
在海洋地质和地球物理勘测中,海底剖面仪是获取高分辨率浅地层数据的重要工具。为了探测和获取小型海底物体的结构特征,我们开发了一种利用二维数据构建三维结构模型的数据处理方法。我们利用川山列岛的海底剖面探测数据进行了应用实验,这些数据是利用中国最先进的无人勘探平台和商用浅层剖面探测系统进行探测的。为了从记录的二维海底剖面数据集创建高分辨率的三维海底结构模型,我们设计了一套优化的数据处理序列,包括两个阶段:二维数据处理和三维数据处理。二维数据处理阶段包括频谱分析、带通滤波、匹配滤波、时变增益和浪涌校正。随后的三维数据处理阶段包括 ping 位置重新分配、静态校正和提取特征层信息。值得注意的是,最终的伪三维海底剖面时间切片在目标体附近表现出明显的振幅变化。该方法是二维海底剖面数据应用的延伸,增强了此类数据的目标识别能力。为了进一步提高目标体特征描述的精度,我们使用 ArcScene 10.0 创建了三维海底剖面结构模型空间数据库。我们构建了海底三维地层结构模型,详细展示了目标体的三维结构特征,并识别出了一个面积为 6.4 × 9.2 × 10 米的海底目标体。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Acta Geophysica
Acta Geophysica GEOCHEMISTRY & GEOPHYSICS-
CiteScore
3.80
自引率
13.00%
发文量
251
期刊介绍: Acta Geophysica is open to all kinds of manuscripts including research and review articles, short communications, comments to published papers, letters to the Editor as well as book reviews. Some of the issues are fully devoted to particular topics; we do encourage proposals for such topical issues. We accept submissions from scientists world-wide, offering high scientific and editorial standard and comprehensive treatment of the discussed topics.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信