Three dictionary learning algorithms and their applications for marine controlled source electromagnetic data denoising

IF 2.2 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY
Zhongqin Tang , Pengfei Zhang , Zhenwei Guo , Xinpeng Pan , Jianxin Liu , Yijie Chen , Qiuyuan Hou
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引用次数: 0

Abstract

Marine controlled source electromagnetic (MCSEM) is profoundly used for undersea resources exploration. The effective signal is easily contaminated by kinds of noise when the transmitter-receiver offset is large. Suppressing the noise influence is vital to improve data quality and further interpretation accuracy. Denoising becomes a research focus with the widespread application of the MCSEM technique. Many denoising approaches are proposed by different researchers. However, most of them only target a single type of noise, which severely limits the application of these approaches. The fast-developing dictionary learning technique paves a new way for MCSEM data denoising. Currently, typical dictionary learning algorithms include k-means singular value decomposition (K-SVD), data-driven tight frame (DDTF), shift-invariant sparse coding (SISC) and so on. These three algorithms are different in principles and arithmetic processes. Their applications for MCSEM data denoising are explored for the first time in this article. Besides, a comparative analysis of these three noise reduction methods is carried out. The comparison proves the effectiveness and superiority of the K-SVD, followed by the DDTF method. Besides, all these denoising methods are applied to the field data. The results further corroborates the above conclusions.

三种字典学习算法及其在海洋可控源电磁数据去噪中的应用
海洋可控源电磁(MCSEM)被广泛应用于海底资源勘探。当发射机-接收机偏移较大时,有效信号很容易受到各种噪声的污染。抑制噪声对提高数据质量和解释精度至关重要。随着 MCSEM 技术的广泛应用,去噪成为研究重点。不同的研究人员提出了许多去噪方法。然而,大多数方法只针对单一类型的噪声,这严重限制了这些方法的应用。快速发展的词典学习技术为 MCSEM 数据去噪铺平了一条新路。目前,典型的字典学习算法包括 K-means 奇异值分解(K-SVD)、数据驱动紧帧(DDTF)、移位不变稀疏编码(SISC)等。这三种算法的原理和运算过程各不相同。本文首次探讨了它们在 MCSEM 数据去噪中的应用。此外,本文还对这三种降噪方法进行了对比分析。比较结果证明了 K-SVD 方法的有效性和优越性,其次是 DDTF 方法。此外,所有这些去噪方法都应用于现场数据。结果进一步证实了上述结论。
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来源期刊
Journal of Applied Geophysics
Journal of Applied Geophysics 地学-地球科学综合
CiteScore
3.60
自引率
10.00%
发文量
274
审稿时长
4 months
期刊介绍: The Journal of Applied Geophysics with its key objective of responding to pertinent and timely needs, places particular emphasis on methodological developments and innovative applications of geophysical techniques for addressing environmental, engineering, and hydrological problems. Related topical research in exploration geophysics and in soil and rock physics is also covered by the Journal of Applied Geophysics.
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