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A Precise Method to Calibrate Dynamic Integration Errors in Shallow- and Deep-Water Multibeam Bathymetric Data
Bu, Xianhai1; Mei, Sai2; Yang, Fanlin1,3; Luan, Zhendong4; Xu, Fangzheng1; Luo, Yu1
2021-07-26
发表期刊IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
ISSN0196-2892
页码14
通讯作者Mei, Sai([email protected]) ; Yang, Fanlin([email protected])
摘要Acoustic remote sensing with multibeam echo-sounder systems (MBESs) has been extensively used for coastal and ocean survey works. The imperfect integration of multibeam echo sounder and motion sensor can introduce integration errors, which manifest as high-frequency wobbles in swaths and hinder the accurate expression of high-resolution seabed topographic maps. To address this issue, a precise method is developed to calibrate these integration errors based on a simplified georeferenced model. First, an equivalent attitude coordinate (EAC) system is defined to represent mutual transformation between equivalent attitudes and the beam launch vector; then, with the help of equivalent attitudes, a simplified footprint georeferenced model is deduced that considers the effect of the parameterized integration errors (including time delay, motion scale, yaw misalignment, and lever arm errors); finally, in a selected flat region, integration errors are inverted by regressing the bathymetric data to the corresponding fitted plane via the differential evolution (DE) algorithm. The results indicate that the proposed method can effectively eliminate wobbles in multibeam bathymetries caused by single or multiple integration errors in both shallow- and deep-water areas. By comparing the data before and after calibration with the in situ measurements, the accuracy of the calibrated shallow- and deep-water data is controlled within approximately 0.15% and 0.06% of the water depth, respectively.
关键词Structural beams Transducers Calibration Motion detection Tides Geology Global navigation satellite system Differential evolution (DE) georeferenced model integration errors motion sensor multibeam echo-sounder system (MBES)
DOI10.1109/TGRS.2021.3097723
收录类别SCI
语种英语
资助项目National Natural Science Foundation of China[41930535]; National Natural Science Foundation of China[52001189]; National Key Research and Development Program of China[2018YFF0212203]; National Key Research and Development Program of China[2017YFC1405006]; National Key Research and Development Program of China[2018YFC1405900]; National Key Research and Development Program of China[2016YFC1401210]; Shandong University of Science and Technology (SDUST) Research Fund[2019TDJH103]
WOS研究方向Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目Geochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号WOS:000732783500001
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计
被引频次:2[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.qdio.ac.cn/handle/337002/177579
专题海洋地质与环境重点实验室
通讯作者Mei, Sai; Yang, Fanlin
作者单位1.Shandong Univ Sci & Technol, Coll Geodesy & Geomat, Qingdao 266590, Peoples R China
2.Qingdao Inst Marine Geol, Minist Nat Resources, China Geol Survey, Qingdao 266071, Peoples R China
3.Minist Nat Resources China, Key Lab Ocean Geomat, Qingdao 266590, Peoples R China
4.Chinese Acad Sci, Ctr Deep Sea Res, Inst Oceanol, Key Lab Marine Geol & Environm, Qingdao 266071, Peoples R China
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GB/T 7714
Bu, Xianhai,Mei, Sai,Yang, Fanlin,et al. A Precise Method to Calibrate Dynamic Integration Errors in Shallow- and Deep-Water Multibeam Bathymetric Data[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2021:14.
APA Bu, Xianhai,Mei, Sai,Yang, Fanlin,Luan, Zhendong,Xu, Fangzheng,&Luo, Yu.(2021).A Precise Method to Calibrate Dynamic Integration Errors in Shallow- and Deep-Water Multibeam Bathymetric Data.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,14.
MLA Bu, Xianhai,et al."A Precise Method to Calibrate Dynamic Integration Errors in Shallow- and Deep-Water Multibeam Bathymetric Data".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2021):14.
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