Automatic calibration for wobble errors in shallow water multibeam bathymetries
Geology|Updated:2023-05-19
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Automatic calibration for wobble errors in shallow water multibeam bathymetries
Journal of Oceanology and LimnologyVol. 40, Issue 5, Pages: 1937-1949(2022)
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
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:
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.
Automatic calibration for wobble errors in shallow water multibeam bathymetries
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.
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references
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