海洋地质与第四纪地质2026，Vol.46Issue(4)：111-119,9.DOI:10.16562/j.cnki.0256-1492.2025080401
多阈值自适应滤波在科研鱼探仪噪音处理中的应用
Application of multi-threshold adaptive filtering in noise processing of fishfinder
摘要
Abstract
In joint geophysical exploration mission,strong and banded interference noise in the fish finder data for research are is common,which could seriously affect the accuracy of the identification of seafloor plumes and the like.To improve the signal-to-noise ratio of the profile and the fidelity of the water structural information,we proposed a multi-threshold adaptive filtering method that integrates the spatial features of target strength,orientation,and gradient change,constructed a triple threshold determination system,and introduced a sliding window adaptive median filtering mechanism,with which the banded noise can be suppressed,the boundary clarity of the seafloor cold-spring plume and the continuity of the internal structure be enhanced,The practicality of the method was verified by modelling,and good results were achieved against the measured cold spring data.This study provided a reliable pre-processing basis for the subsequent identification of water body structure and quantitative analysis.关键词
科研鱼探仪/多阈值自适应滤波/噪声压制/羽状流Key words
fish finder/multi-threshold adaptive filtering/noise suppression/plume分类
海洋科学引用本文复制引用
胡斯凯,梅多维,王林飞,尉佳..多阈值自适应滤波在科研鱼探仪噪音处理中的应用[J].海洋地质与第四纪地质,2026,46(4):111-119,9.基金项目
国家重点研发计划课题"随钻垂直地震探测与取心智能化控制关键技术研究"(2024YFC2814901) （2024YFC2814901）
