Development of a high-precision deep-sea seabed terrain model through frequency domain weighted fusion of multi-source data: A case study in the southern waters of greenland

Bu Xianhai; Tan Xinyue; Zhang Jianxing; Fan Miao; Yan Xunpeng; Yang Fanlin

doi:10.12284/hyxb2025081

Volume 47 Issue 8

Aug. 2025

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Article Navigation > Haiyang Xuebao > 2025 > 47(8): 101-115

Bu Xianhai，Tan Xinyue，Zhang Jianxing, et al. Development of a high-precision deep-sea seabed terrain model through frequency domain weighted fusion of multi-source data: A case study in the southern waters of greenland[J]. Haiyang Xuebao，2025, 47(8)：101–115 doi: 10.12284/hyxb2025081

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Development of a high-precision deep-sea seabed terrain model through frequency domain weighted fusion of multi-source data: A case study in the southern waters of greenland

doi: 10.12284/hyxb2025081

Bu Xianhai^{1, 2
,},
Tan Xinyue¹,
Zhang Jianxing³,
Fan Miao⁴,
Yan Xunpeng¹,
Yang Fanlin^{1, 2
,
,}

1.
College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, China
2.
Key Laboratory of Ocean Geomatics, Ministry of Natural Resources, Qingdao 266590, China
3.
Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266000, China
4.
National Marine Data and Information Service, Ministry of Natural Resources, Tianjin 300171, China

Received Date: 2025-04-10
Rev Recd Date: 2025-07-17

Available Online: 2025-07-31

Publish Date: 2025-08-31

Abstract

Abstract

The fusion of multi-source data, such as satellite gravity inversion and shipboard sonar bathymetry, is the core technology for constructing large-scale high-precision deep-sea topographic models. However, existing methods are usually difficult to consider the local topographic details and global trends, so this paper proposes a method for constructing a high-precision seafloor topographic model of the deep sea based on the weighted fusion of multi-source data in the frequency domain. First, data format conversion, data cleaning and datum unification are performed on the multi-source data; then, the six global terrain models corresponding to the survey area are processed by frequency division and weighted fusion, and the fusion weights are iteratively optimized to obtain the initial fusion results with the constraints of the bathymetric deviation of the local ship’s measured terrain and the fused model; finally, the local terrain details are constructed by combining the local ship’s measured terrain and the initial fusion results, so as to realize the construction of a high-accuracy seabed topographic model over a wide range of survey areas. A case study in the southern part of Greenland Island was presented, and the results showed that the root-mean-square error (RMSE) of the seafloor topography model constructed by the proposed method significantly decreased, with RMSE 17.15%, 16.50%, 16.63%, 16.67%, and 9.99% lower than that of the nearest-neighbor interpolation, inverse-distance-weighted, natural-neighbor interpolation, kriging interpolation methods, and the remove-and-recovery method, respectively. The improvement in the coefficient of determination R² with the IBCAO5.0 model was about 8.82%, 8.27%, 8.27%, 8.41% and 16.09%, respectively, and the information of the overall trend of the terrain and the local details are effectively guaranteed.
- deep-sea seabed terrain model,
- multi-source data fusion,
- digital bathymetric model,
- frequency domain,
- weighted fusion

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References(41)

References

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