日本博索半岛多通道奇异谱处理大地电磁数据降噪方法的发展

Kaneko Shu, Mogi Toru, Yoshino Chie, Hattori Katsumi
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引用次数: 0

摘要

. 2014-2015年,我们对博索半岛进行了MT调查,了解其地下电性结构。所获得的数据被人工噪声污染(例如直流驱动列车的漏电流、工厂噪声等)。人为的噪音导致了错误的结构。为了降低噪声影响,我们采用了多通道奇异频谱分析(MSSA)。如果窗长设置为800,则可以减少某一频段内的不相关信号。为了消除所有频段的噪声,需要进一步研究MSSA参数或源波的附加信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of noise reduction method for MT data processing using Multi-channel singular spectrum analysis at Boso Peninsula in Japan
. In 2014-2015, we conducted MT survey to understand the subsurface electrical structure at Boso peninsula. The obtained data is found to be contaminated by artificial noise (e.g. leak current from DC driven trains, factory noise, etc.). The artificial noise leads to the false structure. To reduce the noise effects, we applied Multi-channel Singular Spectrum Analysis (MSSA). If the window length set 800, we could reduce uncorrelated signal in a certain frequency band. Further investigation on MSSA parameters or additional information on source waves for MT exploration is necessary to eliminate the noise over all frequency bands.
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