海洋测绘2025，Vol.45Issue(1)：31-34,4.DOI:10.3969/j.issn.1671-3044.2025.01.007
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
摘要
Abstract
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Key words
multi-beam bathymetry/genetic algorithm/soft-threshold filtering/observation noise/bathymetric data processing分类
天文与地球科学引用本文复制引用
于潇涵,崔杨,金绍华,陈娜,边刚..结合GA与小波分析的多波束测深噪声滤波方法[J].海洋测绘,2025,45(1):31-34,4.基金项目
国家自然科学基金(41876103). （41876103）
