Acta Geodaetica et Cartographica Sinica ›› 2019, Vol. 48 ›› Issue (9): 1171-1181.doi: 10.11947/j.AGCS.2019.20180495

• Marine Survey • Previous Articles     Next Articles

The MF method for multi-source bathymetric data fusion and ocean bathymetric model construction

LIU Yang1,2,3, WU Ziyin1,2,3, ZHAO Dineng1,2, ZHOU Jieqiong1,2, SHANG Jihong1,2, WANG Mingwei1,2, ZHU Chao1,2, LU Haohao1,2   

  1. 1. Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China;
    2. Key Laboratory of Submarine Geosciences, State Oceanic Administration, Hangzhou 310012, China;
    3. Institute of Oceanography, Shanghai Jiao Tong University, Shanghai 200030, China
  • Received:2018-10-30 Revised:2019-03-03 Online:2019-09-20 Published:2019-09-25
  • Supported by:
    The National Natural Science Foundation of China (Nos. 41830540;41476049;41606057);The Project of State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography (No. SOEDZZ1802);The Fundamental Project of Science and Technology, Ministry of Science and Technology of People's Republic of China (No. 2013FY112900);The Public Projects of Zhejiang Province (No. 2016C31120)

Abstract: In view of complex sources and various resolutions of global deep ocean bathymetric data being difficult in fusion to construct high-resolution digital bathymetric model (DBM), we present a MF method (merge-fusion) that is suitable for multi-source bathymetric data fusion in deep waters. Then we apply it to the DBM construction of the "Challenger Deep" in the Mariana Trench. By the workflow of "Merge-Fusion", the method combines electronic charts, multi-beam, single-beam bathymetric data with general bathymetric chart of the oceans (GEBCO) data. It can fill the blank area of data while preserving details in high-resolution bathymetric data. Finally, the constructed high-resolution DBM of the "Challenger Deep" is compared with GEBCO data. The results show that the DBM obtained by this method can better maintain the topographic details. This method possesses important practical application value.

Key words: multi-source bathymetric data, data fusion, DBM, GEBCO, Challenger Deep

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