马飞虎, 鄂栋臣, 赵建虎, 孙翠羽. 多波束声强振幅滤波方法比较研究[J]. 武汉大学学报 ( 信息科学版), 2010, 35(9): 1082-1085.
引用本文: 马飞虎, 鄂栋臣, 赵建虎, 孙翠羽. 多波束声强振幅滤波方法比较研究[J]. 武汉大学学报 ( 信息科学版), 2010, 35(9): 1082-1085.
MA Feihu, E Dongchen, ZHAO Jianhu, SUN Cuiyu. Multi-beam Sound Intensity Amplitude Filtering Methods[J]. Geomatics and Information Science of Wuhan University, 2010, 35(9): 1082-1085.
Citation: MA Feihu, E Dongchen, ZHAO Jianhu, SUN Cuiyu. Multi-beam Sound Intensity Amplitude Filtering Methods[J]. Geomatics and Information Science of Wuhan University, 2010, 35(9): 1082-1085.

多波束声强振幅滤波方法比较研究

Multi-beam Sound Intensity Amplitude Filtering Methods

  • 摘要: 借鉴图像处理中的空间滤波方法进行振幅去噪,通过对实际观测值的处理、比较和分析,认为梯度倒数加权平滑法效果最佳。实验也验证了该结论的正确性。

     

    Abstract: Amplitude data are the key data for generating backscatter intensity maps as well as seabed sediment classification. There are noises in signals because of the system itself or some other factors when the amplitude data are obtained. The existence of these noises directly effects data processing, which makes seabed backscatter strength map distorted. So the amplitude de-noising becomes very important. Spatial filtering methods in the image processing are referred to. By comparison and analysis with the actual observations, we prove that the gradient inverse weight smoothing algorithm is optimal, and the experimental results show the correctness of the conclusions.

     

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