地球与行星物理论评（中英文）2025，Vol.56Issue(6)：674-681,8.DOI:10.19975/j.dqyxx.2024-042
基于实测数据的航空瞬变电磁天电噪声去除方法研究
A study on sferic removal methods from actual airborne transient electromagnetic data
祁平 1陈江源 2王志宏 1孙栋华 1陈伟 1骆燕 1张伟盟 1程莎莎 1彭莉红1
作者信息
- 1. 核工业航测遥感中心,石家庄 050002||河北省航空探测与遥感技术重点实验室,石家庄 050002||中核集团铀资源地球物理勘查技术中心重点实验室,石家庄 050002
- 2. 核工业航测遥感中心,石家庄 050002||中核集团铀资源地球物理勘查技术中心重点实验室,石家庄 050002
- 折叠
摘要
Abstract
In airborne transient electromagnetic(ATEM)surveys,sferic significantly degrades data quality due to its randomness and uncertain energy amplitude.This study explores three methods for removing sferic:wavelet decomposition and reconstruction,α-trimmed mean filter,and Hampel filter.Their respective advantages and ap-plication scenarios in signal processing are compared.Wavelet decomposition and reconstruction offer multiscale and multiresolution signal analysis,allowing simultaneous consideration of time and frequency characteristics.The choice of basis functions affects global properties and phase shifts,while the number of decomposition levels influ-ences data smoothing,and threshold settings impact noise removal effectiveness.α-trimmed mean filtering re-moves noise by averaging the remaining data after excluding the maximum and minimum values within a window,thus demonstrating adaptability.The Hampel filter detects outliers using median and median absolute deviation(MAD),effectively targeting noise removal,particularly suitable for scenarios requiring signal detail preservation.This study enhances the Hampel filter,reducing computational overhead while ensuring accurate outlier detection.Simulation experiments on random signals and field-collected ATEM data validate the denoising capabilities of the three methods,revealing that the Hampel filter achieves optimal sferic reduction.关键词
航空瞬变电磁/天电噪声去除/Hampel滤波器Key words
airborne transient electromagnetic/sferic/Hampel filter分类
天文与地球科学引用本文复制引用
祁平,陈江源,王志宏,孙栋华,陈伟,骆燕,张伟盟,程莎莎,彭莉红..基于实测数据的航空瞬变电磁天电噪声去除方法研究[J].地球与行星物理论评（中英文）,2025,56(6):674-681,8.
