结合GA与小波分析的多波束测深噪声滤波方法  

A multi-beam bathymetric noise filtering method combining GA and wavelet analysis

作　　者：于潇涵 崔杨 金绍华 陈娜 边刚 YU Xiaohan;CUI Yang;JIN Shaohua;CHEN Na;BIAN Gang(Department of Military Oceanography and Hydrography,Dalian Naval Academy,Dalian 116018,China)

机构地区：[1]海军大连舰艇学院军事海洋与测绘系,辽宁大连116018

出　　处：《海洋测绘》2025年第1期31-34,共4页Hydrographic Surveying and Charting

基　　金：国家自然科学基金(41876103)。

摘　　要：针对多波束测深数据中的异常值及地形失真问题,提出了一种基于遗传算法(GA)优化阈值的小波软阈值滤波方法。该方法通过遗传算法自然选择和遗传学原理的模拟,实现了阈值的自动优化,从而提高了滤波效果。实测数据处理实验结果表明,该方法能够在保持地形特征的同时,更有效地去除观测噪声,提高地形测量的数据质量。该方法为多波束测深数据处理提供了新的思路,有助于提升海底地形数据的分析能力。A wavelet soft-threshold filtering method based on genetic algorithm(GA)optimized threshold is proposed to address the issues of outliers and terrain distortion in multi-beam bathymetric data.This method achieves automatic threshold optimization through the simulation of natural selection and genetic principles of GA,thereby enhancing the filtering effect.Experimental results of measured data processing demonstrate that this method can more effectively remove observation noise while preserving terrain features,improving the data quality of terrain measurement.This method provides a new approach for multi-beam bathymetric data processing and contributes to enhancing the analytical capabilities of seabed terrain data.

关 键 词：多波束测深 遗传算法 软阈值滤波 观测噪声 测深数据处理 

分 类 号：P229[天文地球—大地测量学与测量工程]