SSP Inversion for Weakening Refraction Errors in Deep-Sea Multibeam Bathymetry Using MOEA/D Algorithm

Refraction errors induced by inaccurate or insufficient sound-speed profiles (SSPs) can result in significant distortion of seafloor topography during multibeam bathymetric data processing. The current refraction error correction methods are focused on SSP inversion in shallow and medium water depth areas with relatively flat terrain. To address the problems encountered in deep-sea environments, an improved SSP inversion method is introduced that uses an empirical orthogonal function (EOF) decomposition and multiobjective evolutionary algorithm based on decomposition (MOEA/D). Initially, SSPs obtained from the Argo historical data set are decomposed by EOF decomposition, which extracts the orthogonal eigenvectors and the range of reconstruction coefficients. Then, the absolute mean value and standard deviation of depth differences within overlapping swathes are used as constraint conditions, forming dual objective functions. The MOEA/D algorithm is employed to determine the optimal EOF coefficients. Finally, ray tracing is conducted using the inverted SSP to correct the seafloor distortion. The method was verified using experimental data in complex deep-sea terrain. The maximum depth difference within the overlapping area of adjacent swaths notably decreases from 14.9 to 5.6 m, and the root mean square error decreases from 6.4 to 1.2 m.

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Publication Details

Journal
IEEE Journal of Oceanic Engineering
Published
2025-09-15
DOI
https://doi.org/10.1109/joe.2025.3566902
Primary Topic
Geochemistry and Geologic Mapping
Type
article
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article

SSP Inversion for Weakening Refraction Errors in Deep-Sea Multibeam Bathymetry Using MOEA/D Algorithm

IEEE Journal of Oceanic Engineering
Geochemistry and Geologic Mapping
article

SSP Inversion for Weakening Refraction Errors in Deep-Sea Multibeam Bathymetry Using MOEA/D Algorithm

article en

Abstract

Refraction errors induced by inaccurate or insufficient sound-speed profiles (SSPs) can result in significant distortion of seafloor topography during multibeam bathymetric data processing. The current refraction error correction methods are focused on SSP inversion in shallow and medium water depth areas with relatively flat terrain. To address the problems encountered in deep-sea environments, an improved SSP inversion method is introduced that uses an empirical orthogonal function (EOF) decomposition and multiobjective evolutionary algorithm based on decomposition (MOEA/D). Initially, SSPs obtained from the Argo historical data set are decomposed by EOF decomposition, which extracts the orthogonal eigenvectors and the range of reconstruction coefficients. Then, the absolute mean value and standard deviation of depth differences within overlapping swathes are used as constraint conditions, forming dual objective functions. The MOEA/D algorithm is employed to determine the optimal EOF coefficients. Finally, ray tracing is conducted using the inverted SSP to correct the seafloor distortion. The method was verified using experimental data in complex deep-sea terrain. The maximum depth difference within the overlapping area of adjacent swaths notably decreases from 14.9 to 5.6 m, and the root mean square error decreases from 6.4 to 1.2 m.

IEEE Journal of Oceanic EngineeringVol. 50(4)
Sun Yat-sen University (CN), Shandong University of Science and Technology (CN)
Life below water
Openalex Percentile: Top 38%
Geochemistry and Geologic Mapping
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SSP Inversion for Weakening Refraction Errors in Deep-Sea Multibeam Bathymetry Using MOEA/D Algorithm · IEEE Journal of Oceanic Engineering (2025) | TGRS Research Map | TGRS