3D underwater topography rebuilding based on single beam sonar

Y. Guo
{"title":"3D underwater topography rebuilding based on single beam sonar","authors":"Y. Guo","doi":"10.1109/ICSPCC.2013.6664031","DOIUrl":null,"url":null,"abstract":"In this paper we rebuild the 3D underwater topography of an experimental pool using single beam sonar. Compared with other sensors like multi-beam sonar and some other optical devices single beam sonar is cheap and small. And we choose the open source 3D model and animation software Blender as our modeling platform. In our experiment the sonar follows a straight line to get 2D slices of the underwater environment and then we combine these 2D slices together to get the 3D point cloud. Then we use several filters and segmentation methods to process the 3D point cloud to make it smooth. Finally we build the underwater model based on the processed 3D point cloud using the covering method we created, which comes from the idea that when you cover a table with a moldable table cloth, the table cloth will be in the shape of the table. We carry out the experiment in two different underwater places in an experimental pool. The experimental results show that the covering method can build models with reliable shapes and sizes.","PeriodicalId":124509,"journal":{"name":"2013 IEEE International Conference on Signal Processing, Communication and Computing (ICSPCC 2013)","volume":"174 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE International Conference on Signal Processing, Communication and Computing (ICSPCC 2013)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSPCC.2013.6664031","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

Abstract

In this paper we rebuild the 3D underwater topography of an experimental pool using single beam sonar. Compared with other sensors like multi-beam sonar and some other optical devices single beam sonar is cheap and small. And we choose the open source 3D model and animation software Blender as our modeling platform. In our experiment the sonar follows a straight line to get 2D slices of the underwater environment and then we combine these 2D slices together to get the 3D point cloud. Then we use several filters and segmentation methods to process the 3D point cloud to make it smooth. Finally we build the underwater model based on the processed 3D point cloud using the covering method we created, which comes from the idea that when you cover a table with a moldable table cloth, the table cloth will be in the shape of the table. We carry out the experiment in two different underwater places in an experimental pool. The experimental results show that the covering method can build models with reliable shapes and sizes.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于单波束声纳的水下三维地形重建
本文利用单波束声呐重建了实验池的三维水下地形。与其他传感器如多波束声纳和其他光学设备相比,单波束声纳价格便宜,体积小。我们选择了开源的3D模型和动画软件Blender作为建模平台。在我们的实验中,声纳沿着一条直线得到水下环境的二维切片,然后我们将这些二维切片组合在一起得到三维点云。然后使用多种滤波和分割方法对三维点云进行处理,使其平滑。最后,我们使用我们创建的覆盖方法,基于处理过的3D点云建立水下模型,这来自于当你用可成型的桌布覆盖桌子时,桌布就会呈现桌子的形状。我们在两个不同的水下实验池中进行实验。实验结果表明,该方法可以建立具有可靠形状和尺寸的模型。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Direction of arrival estimation via sparse representation of fourth order statistics Analysis of accurate signal propagation model for through-wall imaging radar using compressive sensing Research on smart antenna beamforming by generalized regression neural network 3D underwater topography rebuilding based on single beam sonar Noise performance of a new FM-DCSK communication system
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1