具有表面声速约束的声速剖面构造方法

IF 8.6 1区 地球科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Meiqin Liu;Taoyong Jin;Jianhu Zhao;Meng Wu
{"title":"具有表面声速约束的声速剖面构造方法","authors":"Meiqin Liu;Taoyong Jin;Jianhu Zhao;Meng Wu","doi":"10.1109/TGRS.2025.3570970","DOIUrl":null,"url":null,"abstract":"There are common sound speed errors resulting from insufficient density of sound speed profile (SSP) stations in a multibeam survey. The existing methods typically use empirical orthogonal function (EOF) analysis to create new SSPs that can mitigate sounding errors coursed by sound speed errors, but they are often inefficient due to their iterative nature. To address this issue, we propose a method for constructing SSPs with surface sound speeds (SSSs) constraints to reduce the sounding errors. This method begins by standardizing the measured SSPs through unified stratification, followed by the clustering of the standardized SSPs (SSSPs). Next, the clustered SSSPs, along with highly accurate SSSs from the transducer, are utilized to estimate the parameters for the inverse distance weighting (IDW)-based spatiotemporal interpolation formula. Finally, the determined formula is employed in the depth direction to construct an interpolated SSP (ISSP), which is then used to correct sounding errors. Experiments verified the proposed method and the results show that the root mean squares (RMSs) of the sounding errors improved by approximately 83%, decreasing from 1.169 m of the alternative SSP (ASSP) to 0.202 m of the ISSP. Additionally, the computational time of the ISSP was reduced by a factor of 67 compared to the EOF method.","PeriodicalId":13213,"journal":{"name":"IEEE Transactions on Geoscience and Remote Sensing","volume":"63 ","pages":"1-11"},"PeriodicalIF":8.6000,"publicationDate":"2025-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Sound Speed Profile Construction Method With Surface Sound Speed Constraints\",\"authors\":\"Meiqin Liu;Taoyong Jin;Jianhu Zhao;Meng Wu\",\"doi\":\"10.1109/TGRS.2025.3570970\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"There are common sound speed errors resulting from insufficient density of sound speed profile (SSP) stations in a multibeam survey. The existing methods typically use empirical orthogonal function (EOF) analysis to create new SSPs that can mitigate sounding errors coursed by sound speed errors, but they are often inefficient due to their iterative nature. To address this issue, we propose a method for constructing SSPs with surface sound speeds (SSSs) constraints to reduce the sounding errors. This method begins by standardizing the measured SSPs through unified stratification, followed by the clustering of the standardized SSPs (SSSPs). Next, the clustered SSSPs, along with highly accurate SSSs from the transducer, are utilized to estimate the parameters for the inverse distance weighting (IDW)-based spatiotemporal interpolation formula. Finally, the determined formula is employed in the depth direction to construct an interpolated SSP (ISSP), which is then used to correct sounding errors. Experiments verified the proposed method and the results show that the root mean squares (RMSs) of the sounding errors improved by approximately 83%, decreasing from 1.169 m of the alternative SSP (ASSP) to 0.202 m of the ISSP. Additionally, the computational time of the ISSP was reduced by a factor of 67 compared to the EOF method.\",\"PeriodicalId\":13213,\"journal\":{\"name\":\"IEEE Transactions on Geoscience and Remote Sensing\",\"volume\":\"63 \",\"pages\":\"1-11\"},\"PeriodicalIF\":8.6000,\"publicationDate\":\"2025-03-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Geoscience and Remote Sensing\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/11006130/\",\"RegionNum\":1,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Geoscience and Remote Sensing","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/11006130/","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0

摘要

在多波束测量中,由于声速剖面(SSP)台站密度不足,存在常见的声速误差。现有方法通常使用经验正交函数(EOF)分析来创建新的ssp,可以减轻声速误差带来的测深误差,但由于其迭代性,它们通常效率低下。为了解决这一问题,我们提出了一种基于表面声速约束的ssp构建方法,以减小测深误差。该方法首先通过统一分层对测量的ssp进行标准化,然后对标准化的ssp (sssp)进行聚类。接下来,利用聚类的sssp,以及来自传感器的高精度sssp,来估计基于逆距离加权(IDW)的时空插值公式的参数。最后,利用确定的公式在深度方向上构造插值SSP (ISSP),利用该插值SSP对测深误差进行校正。实验验证了该方法的有效性,结果表明,该方法的探测误差均方根误差(RMSs)提高了约83%,从备用SSP (ASSP)的1.169 m降至ISSP的0.202 m。此外,与EOF方法相比,ISSP的计算时间减少了67倍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Sound Speed Profile Construction Method With Surface Sound Speed Constraints
There are common sound speed errors resulting from insufficient density of sound speed profile (SSP) stations in a multibeam survey. The existing methods typically use empirical orthogonal function (EOF) analysis to create new SSPs that can mitigate sounding errors coursed by sound speed errors, but they are often inefficient due to their iterative nature. To address this issue, we propose a method for constructing SSPs with surface sound speeds (SSSs) constraints to reduce the sounding errors. This method begins by standardizing the measured SSPs through unified stratification, followed by the clustering of the standardized SSPs (SSSPs). Next, the clustered SSSPs, along with highly accurate SSSs from the transducer, are utilized to estimate the parameters for the inverse distance weighting (IDW)-based spatiotemporal interpolation formula. Finally, the determined formula is employed in the depth direction to construct an interpolated SSP (ISSP), which is then used to correct sounding errors. Experiments verified the proposed method and the results show that the root mean squares (RMSs) of the sounding errors improved by approximately 83%, decreasing from 1.169 m of the alternative SSP (ASSP) to 0.202 m of the ISSP. Additionally, the computational time of the ISSP was reduced by a factor of 67 compared to the EOF method.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
IEEE Transactions on Geoscience and Remote Sensing
IEEE Transactions on Geoscience and Remote Sensing 工程技术-地球化学与地球物理
CiteScore
11.50
自引率
28.00%
发文量
1912
审稿时长
4.0 months
期刊介绍: IEEE Transactions on Geoscience and Remote Sensing (TGRS) is a monthly publication that focuses on the theory, concepts, and techniques of science and engineering as applied to sensing the land, oceans, atmosphere, and space; and the processing, interpretation, and dissemination of this information.
×
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:604180095
Book学术官方微信