Acta Geodaetica et Cartographica Sinica ›› 2019, Vol. 48 ›› Issue (2): 245-255.doi: 10.11947/j.AGCS.2019.20180082

• Marine Survey • Previous Articles     Next Articles

The key technology and application of parameter optimization combined CUBE and surface filter

ZHAO Dineng1,2, WU Ziyin1,2, LI Jiabiao1,2, ZHOU Jieqiong1,2, ZHANG Tiansheng1,2, LIU Yang1,2, ZHU Chao1,2, YU Wei3   

  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. Environment Monitoring Center of the South China Sea, South China Sea Branch of State Oceanic Administration, Guangzhou 510300, China
  • Received:2018-03-04 Revised:2018-07-04 Online:2019-02-20 Published:2019-03-02
  • 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:

CUBE (combined uncertainty and bathymetry estimator) is a widespread algorithm in the world to automatically detect and process multi-beam sounding outliers. While, little is known about its core algorithms and parameters, which is not good for the localization of this technology. In this paper, the basic principle, mathematical model, key parameters and processing steps of CUBE algorithm are elaborated. Then a method of parameter optimization selection combining CUBE and surface filter is established. And an example is presented, in which optimized parameters are selected by choosing typical bathymetric area, parameter test, comparative analysis and etc. And the optimized parameters are verified with the observed data in the Taiwan Banks. The results show that the optimized parameters can effectively improve the accuracy and efficiency of automatic processing of multi-beam data. The technology in this paper can provide reference for deepening research and development of domestic multi-beam sounding processing software and multi-beam data processing.

Key words: multi-beam bathymetry, CUBE algorithm, parameter optimization, algorithm principle, mathematical model

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