最小噪声分离在航空电磁数据噪声压制中的应用

doi:10.13278/j.cnki.jjuese.201603301

吉林大学学报(地球科学版) ›› 2016, Vol. 46 ›› Issue (3): 876-883.doi: 10.13278/j.cnki.jjuese.201603301

最小噪声分离在航空电磁数据噪声压制中的应用

朱凯光, 李玥, 孟洋, 王凌群, 谢宾, 程宇奇

吉林大学仪器科学与电气工程学院/地球信息探测仪器教育部重点实验室, 长春 130026

收稿日期:2015-10-15 出版日期:2016-05-26 发布日期:2016-05-26
作者简介:朱凯光(1970),女,教授,博士生导师,主要从事电磁探测技术与信号处理研究,E-mail:zhukaiguang@jlu.edu.cn
基金资助:
国家高技术研究发展计划（国家“863”计划）项目（2013AA063904）；国家自然科学基金项目（41274076）；国家重大科研装备研制项目-03子项目（ZDYZ2012-1）

Application of Minimum Noise Fraction on Noise Removal for Airborne Electromagnetic Data

Zhu Kaiguang, Li Yue, Meng Yang, Wang Lingqun, Xie Bin, Cheng Yuqi

College of Instrumentation and Electrical Engineering, Jilin University/Key Laboratory of Geo-Exploration Instrumentation, Ministry of Education, Changchun 130026, China

Received:2015-10-15 Online:2016-05-26 Published:2016-05-26
Supported by:
Supported by the National High-Tech R & D Program of China (2013AA063904), the National Natural Science Foundation of China (41274076) and R & D of Key Instruments and the National R & D Projects for Key Scientific Instrumentsof China(ZDYZ2012-1-03)

摘要/Abstract

摘要：

时间域航空电磁数据经预处理后，仍存在残余噪声，影响电磁探测对地下异常的识别能力。笔者提出一种基于最小噪声分离的去噪方法，将一组含噪电磁数据通过旋转矩阵线性变换为按照信噪比大小排列的最小噪声分离成分，利用信噪比较大的最小噪声分离成分重构电磁数据，以达到分离噪声的目的。仿真数据去噪结果表明：最小噪声分离不仅能够有效压制晚期道剖面噪声，还能准确分辨异常信息；晚期道信噪比较测线滤波提高了11.28 dB，实测数据的噪声水平也由±50 nT/s降低到±10 nT/s。

关键词: 时间域航空电磁数据, 最小噪声分离, 去噪, 测线滤波

Abstract:

There is still residual noise in time-domain airborne electromagnetic data after preprocessing, which will affect the recognition of target. We proposed an approach to remove the residual noise based on minimum noise fraction. A set of noise-contaminated data will be linearly transformed by using the rotation matrix to the minimum noise fraction components, which are arranged in signal to noise ratio (SNR) from big to small. We use the minimum noise fraction components with the bigger SNR to reconstruct the electromagnetic data for separating the signal and noise.The experiment with the simulation data test shows that the minimum noise fraction can not only effectively suppress the noise of the profile of later channels, but also accurately identify the information of the target. The SNR has improved by 11.28 dB compared with the survey-line filtering. The noise level for the field data is reduced from ±50 nT/s to ±10 nT/s after noise removal.

Key words: time-domain airborne electromagnetic data, minimum noise fraction, noise removal, survey-linefiltering

中图分类号:

P631.2

朱凯光, 李玥, 孟洋, 王凌群, 谢宾, 程宇奇. 最小噪声分离在航空电磁数据噪声压制中的应用[J]. 吉林大学学报(地球科学版), 2016, 46(3): 876-883.

Zhu Kaiguang, Li Yue, Meng Yang, Wang Lingqun, Xie Bin, Cheng Yuqi. Application of Minimum Noise Fraction on Noise Removal for Airborne Electromagnetic Data[J]. Journal of Jilin University(Earth Science Edition), 2016, 46(3): 876-883.

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最小噪声分离在航空电磁数据噪声压制中的应用

Application of Minimum Noise Fraction on Noise Removal for Airborne Electromagnetic Data

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