利用滚动圆变换的多波束测深数据滤波算法

An Algorithm of Filtering Noises in Multi-beam Data Based on Rolling Circle Transform

  • 摘要: 针对现有多波束测深数据自动滤波算法通常存在因过分追求人工滤波平滑效果,而有可能造成海底微地貌或小型障碍物被不合理删除的问题,以Ping为多波束测深数据处理单元,利用滚动圆变换具有在给定精度条件下可对线要素一定尺度的凹(凸)部进行定量识别和分析的特性,提出了基于滚动圆变换的多波束测深数据滤波算法。在VC++环境下对此算法的正确性和有效性进行了实验验证,结果表明,该算法能在保持海底地形完整性的基础上较好地滤除多波束测深数据中的粗差数据,有利于提高粗差检测的效率。

     

    Abstract: After having analyzed the disadvantage of existing automatic filtering algorithm, which means deleting the micro morphology or obstacle caused by devilishly pursuing the smoothing effect of artificial filtering method, aims at Ping as the processing cell of multi-beam bathymetric survey data, and by means of rolling circle transform's characteristic of identifying and analyzing the concave (convex) part quantitatively under specific precision, the paper details an algorithm for filtering noises in multi-beam data based on a rolling circle transform, and details the keystone and solution steps of the model. At last, in a VC++ environment, some experiments were done to validate the algorithm's validity. The experiments show that the algorithm can filter noises in multi-beam data; maintaining marine topography completeness and enhancing the efficiency in gross error detection.

     

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