Cite this paper:
Tianyu YUN, Xianhai BU, Zhe XING, Zhendong LUAN, Miao FAN, Fanlin YANG. 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

Tianyu YUN1, Xianhai BU1, Zhe XING2, Zhendong LUAN3, Miao FAN2, Fanlin YANG1,4
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
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.
Key words:    multibeam echo-sounder systems    footprint reduction    wobble errors    genetic algorithm    automatic calibration   
Received: 2021-09-03   Revised: 2021-10-23
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