Accuracy Analysis of Interpolation Method for Abrupt Change of Seabed Water Depth

Huadong Ma, Haiying Zhou, Yubo Wen, P. Wang
{"title":"Accuracy Analysis of Interpolation Method for Abrupt Change of Seabed Water Depth","authors":"Huadong Ma, Haiying Zhou, Yubo Wen, P. Wang","doi":"10.1109/ICGMRS55602.2022.9849371","DOIUrl":null,"url":null,"abstract":"In view of the uneven distribution of single beam measurement data density in the area with abrupt seabed terrain, it is difficult to form a refined digital water depth model to provide services for ship navigation, marine engineering construction, military activities and so on. In this paper, the area with large fluctuation of seabed topography is selected as a demonstration, and the three-dimensional interpolation methods such as linear interpolation triangulation method, nearest neighbor interpolation method and natural neighbor interpolation method are used to interpolate the single beam bathymetric data in the study area. Based on the two evaluation indexes of residual sum of squares (RSS) and root mean square errors (RMSE) and the cross validation evaluation method, the accuracy of the results of the three interpolation methods is evaluated. The final results show that when water depth interpolation is carried out in the area with large changes in seabed topography, the linear interpolation triangulation method has faster interpolation speed and the natural adjacent point interpolation method has higher interpolation accuracy. The research in this paper has practical reference value for the three-dimensional interpolation of single beam water depth data in the area with large seabed terrain changes.","PeriodicalId":129909,"journal":{"name":"2022 3rd International Conference on Geology, Mapping and Remote Sensing (ICGMRS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 3rd International Conference on Geology, Mapping and Remote Sensing (ICGMRS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICGMRS55602.2022.9849371","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

In view of the uneven distribution of single beam measurement data density in the area with abrupt seabed terrain, it is difficult to form a refined digital water depth model to provide services for ship navigation, marine engineering construction, military activities and so on. In this paper, the area with large fluctuation of seabed topography is selected as a demonstration, and the three-dimensional interpolation methods such as linear interpolation triangulation method, nearest neighbor interpolation method and natural neighbor interpolation method are used to interpolate the single beam bathymetric data in the study area. Based on the two evaluation indexes of residual sum of squares (RSS) and root mean square errors (RMSE) and the cross validation evaluation method, the accuracy of the results of the three interpolation methods is evaluated. The final results show that when water depth interpolation is carried out in the area with large changes in seabed topography, the linear interpolation triangulation method has faster interpolation speed and the natural adjacent point interpolation method has higher interpolation accuracy. The research in this paper has practical reference value for the three-dimensional interpolation of single beam water depth data in the area with large seabed terrain changes.
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
海底水深突变插值方法精度分析
由于单波束测量数据密度在海底地形陡变地区分布不均匀,难以形成精细化的数字水深模型,为船舶航行、海洋工程建设、军事活动等提供服务。本文以海底地形波动较大的区域为示范,采用线性插值法、三角插值法、最近邻插值法、自然近邻插值法等三维插值方法对研究区内的单波束测深数据进行插值。基于残差平方和误差(RSS)和均方根误差(RMSE)两个评价指标和交叉验证评价方法,对三种插值方法的结果精度进行了评价。最终结果表明,在海底地形变化较大的区域进行水深插值时,线性插值三角法的插值速度更快,自然邻点插值法的插值精度更高。本文的研究对海底地形变化较大地区单波束水深数据的三维插值具有实用的参考价值。
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
Research on UAV remote sensing multispectral image compression based on CNN MDNet: A Multi-modal Dual Branch Road Extraction Network Using Infrared Information Quantitative Evaluation of Digital Orthophoto Map Influence of shallow ocean front on propagation characteristics of low frequency sound energy flow Application of GA-BP neural network in prediction of chl-a concentration in Wuliangsu Lake
×
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