时间域航空电磁的天电噪声去除研究

doi:10.11720/wtyht.2020.1264

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Abstract

The main noise source of time-domain airborne electromagnetic survey is sferics that affects the quality of data. In practical work, how to remove sferics efficiently and quickly is the key to data preprocessing. Previous studies of trimmed mean/median filter have a good effect on sferic noise removal. However, there are some problems with single-window-filter. Small window filter does not completely remove the sferics, while large window filter can remove the sferic noise well, but the data at the power on, peak and power off will be over-averaged. Therefore, this paper proposes the hybrid window trim-mean filter, that is, small window parameter filter is adopted for the data at the power on, peak and power off every half cycle, and large window parameter filter is adopted for other data. This method can ensure the trend of data change and better remove the airborne noise at the same time. The removal of sferic noise can not only improve the SNR of data but also increase the exploration depth and provide high-quality data for data processing.

Key words： time-domain AEM sferic noise trimmed-mean filter denoising

Received: 11 May 2019 Published: 22 April 2020

P631

Corresponding Authors: Wei HUANG E-mail: huangwei2012511@163.com

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	Fang BEN
	Wei HUANG
	Ning LU
	Fei HAN
	Hong-Shan ZHENG
	Zhi-Qiang DING
	Jun-Feng LI

Cite this article:

Fang BEN,Wei HUANG,Ning LU, et al. A study of sferic removal from time domain airborne electromagnetic data[J]. Geophysical and Geochemical Exploration, 2020, 44(2): 388-393.

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https://www.wutanyuhuatan.com/EN/10.11720/wtyht.2020.1264 OR https://www.wutanyuhuatan.com/EN/Y2020/V44/I2/388

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