马伟鹏, 杨海忠, 孙建伟. 基于地形频谱分析提高多波束条带拼接效果应用[J]. 海洋地质前沿, 2018, 34(8): 68-72. DOI: 10.16028/j.1009-2722.2018.08009
    引用本文: 马伟鹏, 杨海忠, 孙建伟. 基于地形频谱分析提高多波束条带拼接效果应用[J]. 海洋地质前沿, 2018, 34(8): 68-72. DOI: 10.16028/j.1009-2722.2018.08009
    MA Weipeng, YANG Haizhong, SUN Jianwei. IMPROVEMENT OF MULTI-BEAM STRIPE SPLICING EFFECT BASED ON TOPOGRAPHIC SPECTRUM ANALYSIS[J]. Marine Geology Frontiers, 2018, 34(8): 68-72. DOI: 10.16028/j.1009-2722.2018.08009
    Citation: MA Weipeng, YANG Haizhong, SUN Jianwei. IMPROVEMENT OF MULTI-BEAM STRIPE SPLICING EFFECT BASED ON TOPOGRAPHIC SPECTRUM ANALYSIS[J]. Marine Geology Frontiers, 2018, 34(8): 68-72. DOI: 10.16028/j.1009-2722.2018.08009

    基于地形频谱分析提高多波束条带拼接效果应用

    IMPROVEMENT OF MULTI-BEAM STRIPE SPLICING EFFECT BASED ON TOPOGRAPHIC SPECTRUM ANALYSIS

    • 摘要: 针对多波束测深系统条带拼接中的系统性残差问题,提出基于地形频谱分析的方法来削弱系统性残余误差的影响。该方法相对于传统的拼接方法,无需进行相邻条带ping(激发)连续匹配,避免ping误匹配所产生的地形长波项不符的问题,并且所采用的多面函数不仅可获得所测条带的重叠区长波项信号,还可获得非重叠区的拟合信号。结果表明,采用地形频谱分析法所处理后,多波束测深数据残余误差的影响得到了显著的削弱,拼接精度显著提升。

       

      Abstract: Systematic residue is a common problem in strip splicing of the multi-beam sounding system. We proposed in this paper a method to weaken the influence of the systematic residual error based on the topographic spectrum analysis. A comparison is also made with the traditional method. Different with the traditional method, this method does not require continuous matching of adjacent strip ping, and thus we may avoid inconsistent problem of terrain long wave caused by ping mismatching. In addition, polyhedral function can be obtained by measuring the wave band overlap region, and signal can also be fitted signal non overlap ping regions. The evaluation indexes of the optimal parameters can effectively evaluate the short wave term and the long wave term signal. And the multifaceted function can not only obtain the overlap ping region long wave term signals of the measured strip, but also the fitting signal of the non-overlap ping region. The experimental results show that the impact of the residual error of the sounding data processed by the topographic spectrum analysis method has been greatly improved.

       

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