基于统计变化点检测的多波束反向散射强度角度响应自适应改正方法

Adaptive Correction Method of Multibeam Backscatter Angular Response Based on Statistical Change-Point Detection

  • 摘要: 多波束反向散射强度易受角度响应效应影响。在复杂底质条件下,固定分组方法因分组尺度与底质变化不匹配,常导致改正效果下降,进而影响海底底质空间分布的真实表达。本文提出一种基于统计变化点检测的多波束反向散射残余角度响应自适应改正方法,该方法以逐ping平均反向散射强度构建代理信号,通过变化点检测实现底质变化区域的自适应分组,并在此基础上完成残余角度响应改正。实验结果表明,该方法能够有效削弱角度响应引起的系统性影响,减轻中央波束附近的高亮现象与组间拼接痕迹。局部对比分析显示,该方法在均匀底质区具有良好的强度一致性,在复杂底质区能够较好地保留空间差异特征。研究成果可为多波束反向散射数据精细化处理及海底底质分类提供有益参考。

     

    Abstract: Multibeam backscatter intensity is easily affected by angular response effects. Under complex substrate conditions, fixed grouping methods often result in reduced correction effectiveness due to mismatches between the grouping scale and substrate variations, which in turn affects the true representation of seafloor substrate spatial distribution. To address this issue, this paper proposes an adaptive correction method for multibeam backscatter residual angular response based on statistical change point detection. This method constructs a proxy signal using ping-averaged backscatter intensity, performs adaptive grouping in substrate change regions through change point detection, and completes residual angular response correction on this basis. Experimental results show that this method can effectively mitigate systematic effects caused by angular response, reduce bright spots near the central beams and splicing traces between groups, and decrease the correlation between backscatter intensity and incidence angle in diffuse reflection areas. Local comparative analysis indicates that the method has good intensity consistency in uniform substrate areas and can better preserve spatial variation features in complex substrate areas. The research results can provide useful reference for refined processing of multibeam backscatter data and seafloor substrate classification.

     

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