殷长春1,,,
王宁1,
刘云鹤1,
苏扬1,
熊彬2
1. 吉林大学地球探测科学与技术学院, 长春 130026
2. 桂林理工大学地球科学学院, 桂林 541006
基金项目: 国家自然科学基金项目（41774125，42030806，41530320，41904104，41804098，42074120），中国科学院先导专项（XDA14020102）和北京市科委地球深部探测技术攻关项目（Y816704167）联合资助
详细信息
作者简介: 高玲琦, 男, 1997年生, 研究生, 主要从事航空电磁数据处理和正反演方法研究.E-mail: gaolq_jlu@163.com
通讯作者: 殷长春, 男, 1965年生, 教授, 国家特聘专家, 主要从事电磁勘探理论, 特别是航空和海洋电磁方面的研究.E-mail: yinchangchun@jlu.edu.cn
中图分类号: P631收稿日期:2020-03-01
修回日期:2020-12-15
上线日期:2021-05-10
Leveling of airborne electromagnetic data based on curvelet transform
GAO LingQi1,,YIN ChangChun1,,,
WANG Ning1,
LIU YunHe1,
SU Yang1,
XIONG Bin2
1. Geo-Exploration Science and Technology Institute, Jilin University, Changchun 130026, China
2. College of Earth Sciences, Guilin University of Technology, Guilin 541006, China
More Information
Corresponding author: YIN ChangChun,E-mail:yinchangchun@jlu.edu.cn
MSC: P631--> Received Date: 01 March 2020
Revised Date: 15 December 2020
Available Online: 10 May 2021
摘要
摘要:航空电磁法由于高效和高精度的特点广泛应用于地质填图、矿产资源、地下水、及环境与工程等勘查.然而，航空电磁系统处于动态环境，噪声影响严重，航空电磁数据处理至关重要.航空电磁数据噪声除随机成分外，还包括有各种效应引起的畸变，数据去噪需要依据噪声特征进行处理.航空电磁数据调平是航空电磁数据处理中至关重要的步骤，它能有效去除数据中由飞机飞行条件变化导致系统状态变化而产生的异常.传统的调平方法由于效率较低、易产生数据畸变等受到限制.为了克服这些局限性，我们提出一种基于曲波变换的数据调平方法.该方法得益于曲波变换多尺度和多方向性特征，可以有效地提取数据中的调平误差并予以去除.与此同时，利用该方法我们可以对非规则测区数据进行直接调平，无需进行测区分割，显著提高调平效率和普适性.为了检验本文曲波变换调平方法的有效性，我们将其应用于理论数据以及在爱尔兰Waterford地区实测的航电数据调平.实验结果表明该方法有效地去除调平误差的同时很好地保留有用信号.
关键词: 航空电磁/
数据调平/
曲波变换/
多尺度分析
Abstract:Airborne Electromagnetism (AEM) iswidely used in geological mapping, mineral exploration, groundwater, environmental and engineering investigations for its high efficiency and effectiveness. However, an effective data processing is important for a successful EM survey due to dynamic and noisy environments. Except for random part, the AEM noise encompasses yet those from different effects, so that they must be removed separately based on their characteristics. Leveling is a critical procedure in AEM data processing that reduces errors arising from acquisition circumstances of the aircraft. The traditional leveling methods have the limitations of low efficiency and data distortion. To overcome these disadvantages, we propose a new leveling method based on the curvelet transform. Due to its multiscale and multi-directional characteristics, the leveling errors of this method can be extracted and removed without much damage to the data. Meanwhile, this method allows us to do the leveling in irregular survey areas, without needing to divide the survey area. This makes the leveling procedure more efficient and applicable. To test the feasibility of this curvelet-based leveling, we apply it to both synthetic and survey data acquired by a frequency-domain EM system from Waterford, Ireland. The experiments show that this leveling method can not only remove the leveling errors but also well retain the signal.
Key words:Airborne Electromagnetism (AEM)/
Leveling/
Curvelet transform/
Multiscale analysis
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