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

机译:一种基于滚动圆变换的多光束数据过滤噪声算法

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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.
机译:在分析了现有自动过滤算法的缺点之后,这意味着删除由人工滤波方法的平滑效果删除的微观形态或障碍物,旨在Ping作为多光束沐浴调查数据的处理单元,以及通过滚动圆形变换定量在特定精度下定量地识别和分析凹入(凸)部分的特性,纸张详细介绍了一种用于基于滚动圆变换的多光束数据中的噪声滤波的算法,并详细介绍了模型的梯形和解决方案步骤。最后,在VC ++环境中,完成了一些实验以验证算法的有效性。实验表明,该算法可以在多光束数据中过滤噪声;保持海洋地形完整性并提高总误差检测效率。

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