Automatic calibration for wobble errors in shallow water multibeam bathymetries

Tianyu YUN; Xianhai BU; Zhe XING; Zhendong LUAN; Miao FAN; Fanlin YANG

doi:10.1007/s00343-021-1283-7

Your Location：

Home >

Browse articles >

Automatic calibration for wobble errors in shallow water multibeam bathymetries

Geology | Updated：2023-05-19

- Automatic calibration for wobble errors in shallow water multibeam bathymetries
- Automatic calibration for wobble errors in shallow water multibeam bathymetries
- 海洋湖沼学报（英文） 2022年40卷第5期页码：1937-1949
- Affiliations：
  
  1.College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, China
  2.National Marine Data and Information Service, Tianjin 300012, China
  3.Key Laboratory of Marine Geology and Environment & Center of Deep Sea Research, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
  4.Key Laboratory of Ocean Geomatics, Ministry of Natural Resources, Qingdao 266590, China
- Author bio：
  
  Xianhai BU,buxianhai2012@163.com
- Funds：
  
  the National Natural Science Foundation of China(41930535);the National Natural Science Foundation of China(41830540);the National Key R&D Program of China(2018YFC1405900);the SDUST Research Fund(2019TDJH103);© Chinese Society for Oceanology and Limnology, Science Press and Springer-Verlag GmbH Germany, part of Springer Nature 2022
- DOI：10.1007/s00343-021-1283-7
  中图分类号：
- 收稿：2021-09-03，
  
  录用：2021-10-23，
  
  网络首发：2021-11-24，
  
  纸质出版：2022-09
- Accepted：
Scan QR Code
Automatic calibration for wobble errors in shallow water multibeam bathymetries[J]. 海洋湖沼学报（英文）, 2022,40(5):1937-1949.

Tianyu YUN, Xianhai BU, Zhe XING, et al. Automatic calibration for wobble errors in shallow water multibeam bathymetries[J]. Journal of Oceanology and Limnology, 2022, 40(5): 1937-1949.
Automatic calibration for wobble errors in shallow water multibeam bathymetries[J]. 海洋湖沼学报（英文）, 2022,40(5):1937-1949. DOI： 10.1007/s00343-021-1283-7.

Tianyu YUN, Xianhai BU, Zhe XING, et al. Automatic calibration for wobble errors in shallow water multibeam bathymetries[J]. Journal of Oceanology and Limnology, 2022, 40(5): 1937-1949. DOI： 10.1007/s00343-021-1283-7.

摘要

Abstract

The wobble errors caused by the imperfect integration of motion sensors and transducers in multibeam echo-sounder systems (MBES) manifest as high-frequency wobbles in swaths and hinder the accurate expression of high-resolution seabed micro-topography under a dynamic marine environment. There are many types of wobble errors with certain coupling among them. However

those current calibration methods ignore the coupling and are mainly manual adjustments. Therefore

we proposed an automatic calibration method with the coupling. First

given the independence of the transmitter and the receiver

the traditional georeferenced model is modified to improve the accuracy of footprint reduction. Secondly

based on the improved georeferenced model

the calibration model associated with motion scale

time delay

yaw misalignment

lever arm errors

and soundings is constructed. Finally

the genetic algorithm (GA) is used to search dynamically for the optimal estimation of the corresponding error parameters to realize the automatic calibration of wobble errors. The simulated data show that the accuracy of the calibrated data can be controlled within 0.2% of the water depth. The measured data show that after calibration

the maximum standard deviation of the depth is reduced by about 5.9%

and the mean standard deviation of the depth is reduced by about 11.2%. The proposed method has significance in the precise calibration of dynamic errors in shallow water multibeam bathymetries.

关键词

Keywords

references

Aytug H, Khouja M, Vergara F E. 2003. Use of genetic algorithms to solve production and operations management problems: a review. International Journal of Production Research , 41 (17): 3955-4009, https://doi.org/10.1080/00207540310001626319.

Barnard T E. 2012. Geometrically derived ray-theory results and direct verification of the Pekeris solution for unbounded constant-gradient media. IEEE Journal of Oceanic Engineering , 37 (2): 244-254, https://doi.org/10.1109/JOE.2012.2188161.

Beaudoin J D, Hughes Clarke J E, Bartlett J E. 2004. Application of surface sound speed measurements in post-processing for multi-sector multibeam echosounders. International Hydrographic Review , 5 (3): 17-32.

Bjorke J T. 2005. Computation of calibration parameters for multibeam echo sounders using the least squares method. IEEE Journal of Oceanic Engineering , 30 (4): 818-831, https://doi.org/10.1109/JOE.2005.862138.

Bu X H, Yang F L, Ma Y et al. 2020. Simplified calibration method for multibeam footprint displacements due to non-concentric arrays. Ocean Engineering , 197 : 106862, https://doi.org/10.1016/j.oceaneng.2019.106862.

Church I W. 2020. Multibeam sonar ray-tracing uncertainty evaluation from a hydrodynamic model in a highly stratified estuary. Marine Geodesy , 43 (4): 359-375, https://doi.org/10.1080/01490419.2020.1717695.

Demkowicz J, Bikonis K, Stepnowski A et al. 2003. Geocorrection and filtering of 3D bottom images from multi-beam sonar records. The Journal of the Acoustical Society of America , 114 (4): 2346, https://doi.org/10.1121/1.4781123.

FuRui, Al-Absi M A, Lee H J. 2019. Introduce a specific process of genetic algorithm through an example. In : Proceedings of 2019 International Conference on Information and Communication Technology Convergence. IEEE, Jeju, Korea (South). p. 422-425, https://doi.org/10.1109/ICTC46691.2019.8939728 https://doi.org/10.1109/ICTC46691.2019.8939728 .

Goyal T, Agrawal A. 2013. Host scheduling algorithm using genetic algorithm in cloud computing environment. International Journal of Research in Engineering & Technology , 1 (1): 7-12.

Guan M L, Li Q Q, Zhu J S et al. 2019. A method of establishing an instantaneous water level model for tide correction. Ocean Engineering , 171 : 324-331, https://doi.org/10.1016/j.oceaneng.2018.11.016.

Hamilton T, Beaudoin J, Hughes Clarke J E. 2014. A more precise algorithm to account for non concentric multibeam array geometry. In : Proceedings of Canadian Hydrographic Conference 2014. The Canadian Hydrographic Association, St. John's N & L.

Hare R, Godin A, Mayer L. 1995. Accuracy Estimation of Canadian Swath (Multibeam) and Sweep (Multi-transducer) Sounding Systems, Internal Report. Canadian Hydrographic Service, Fredericton. p. 15-45.

Hare R. 1995. Depth and position error budgets for mulitbeam echosounding. International Hydrographic Review , 72 (2): 37-69.

Holland J H. 1992. Adaptation in Natural and Artificial Systems: an Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence. MIT Press, Cambridge, USA. 211p.

Hughes Clarke J E. 2000. Acoustic seabed surveying—meeting the new demands for accuracy, coverage and spatial resolution. Geomatica , 54 (4): 473-485.

Hughes Clarke J E. 2003a. A reassessment of vessel coordinate systems: what is it that we are really aligning? In : Proceedings of US Hydrographic Conference 2003. The US Hydrographic Conference, Mississippi.

Hughes Clarke J E. 2003b. Dynamic motion residuals in swath sonar data: ironing out the creases. International Hydrographic Review , 4 (1): 6-23.

IHO. 2008. IHO Standards for Hydrographic Surveys. International Hydrographic Organization, Monaco. 28p.

Kammerer E. 2000. A new method for the removal of refraction artifacts in multibeam echosounder systems. ProQuest Dissertations Publishing, Ann Arbor, USA. 191p.

Keyetieu R, Seube N, Djine V et al. 2018. Multi-beam echo sounders-INS automatic latency calibration. Marine Geodesy , 41 (5): 477-493, https://doi.org/10.1080/01490419.2018.1478349.

Li H S, Yao B, Zhou T et al. 2008. Shallow water high resolution multi-beam echo sounder. In : Proceedings of OCEANS 2008-MTS/IEEE Kobe Techno-Ocean. IEEE, Kobe. p. 1-5, https://doi.org/10.1109/OCEANSKOBE.2008.4531081 https://doi.org/10.1109/OCEANSKOBE.2008.4531081 .

Maingot B, Hughes Clarke J E, Calder B R. 2019. High frequency motion residuals in multibeam data: identification and estimation. In : Proceedings of the U.S. Hydrographic Conference 2019. The Hydrographic Society of America, Biloxi.

Mohammadloo H T, Snellen M, Simons D G. 2020. Assessing the performance of the multi-beam echo-sounder bathymetric uncertainty prediction model. Applied Sciences , 10 (13): 4671, https://doi.org/10.3390/app10134671.

Reson Company. 2012. Raw Data. In : Proceedings of the 6th International Conference on High-Resolution Survey in Shallow Water. University of New Hampshire, New Zealand.

Seube N, Keyetieu R. 2017. Multibeam echo sounders-IMU automatic boresight calibration on natural surfaces. Marine Geodesy , 40 (2-3): 172-186, https://doi.org/10.1080/01490419.2017.1310156.

Teng Y T. 2012. Sector-specific Beam Pattern Compensation for Multi-sector and Multi-swath Multibeam Sonars. University of New Brunswick, Fredericton. 107p.

Wikipedia. 2021. Local Tangent Plane Coordinates. https://en.wikipedia.org/wiki/Local_tangent_plane_coordinates#Local_north,_east,_down_(NED)_coordinates https://en.wikipedia.org/wiki/Local_tangent_plane_coordinates#Local_north,_east,_down_(NED)_coordinates . Accessed on 2021-11-10.

Yang F L, Bao J Y, Hu X S. 2017. Oceanic Surveying and Mapping. Wuhan University Press, Wuhan, China. p. 12-17. (in Chinese)

Yang F L, Li J B, Liu Z M et al. 2013. Correction for depth biases to shallow water multibeam bathymetric data. China Ocean Engineering , 27 (2): 245-254, https://doi.org/10.1007/s13344-013-0021-0.

Yang F L, Li J B, Wu Z Y et al. 2009. The methods of removing instantaneous attitude errors for multibeam bathymetry data. Acta Geodaetica et Cartographica Sinica , 38 (5): 450-456, https://doi.org/10.3321/j.issn:1001-1595.2009.05.012. (in Chinese with English abstract)

Yang F L, Lu X S, Li J B et al. 2010. Correction of imperfect alignment of MRU for multibeam bathymetry data. Geomatics and Information Science of Wuhan University , 35 (7): 816-820, https://doi.org/10.13203/j.whugis2010.07.005.(in Chinese with English abstract)

Zhao J H, Yan J, Zhang H M et al. 2014. A new method for weakening the combined effect of residual errors on multibeam bathymetric data. Marine Geophysical Research , 35 (4): 379-394, https://doi.org/10.1007/s11001-014-9228-6.

浏览量

Downloads

CSCD

文章被引用时，请邮件提醒。

Submit

工具集

关联资源

Use of genetic algorithm in new approach to modeling of flood routing

Wave steepness retrieved from scatterometer data in a genetic algorithm

A bio-optical inversion model to retrieve absorption contributions and phytoplankton size structure from total minus water spectral absorption using genetic algorithm

基于NSGA II算法分布度改进的ATREX发动机性能优化方法研究

齿轮传动对转桨扇发动机总体性能建模