Data Processing and Interpretation of Antarctic Ice-Penetrating Radar Based on Variational Mode Decomposition

Data Processing and Interpretation of Antarctic Ice-Penetrating Radar Based on Variational Mode Decomposition
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基于变分模态分解的南极探冰雷达数据处理与解译

DOI:
10.3390/rs11101253
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发表时间:
2019-05
期刊:
影响因子:
5
通讯作者:
Xueyuan Tang
Xueyuan Tang
中科院分区:
工程技术2区
文献类型:
--
作者:
Siyuan Cheng;Sixin Liu;Jingxue Guo;Kun Luo;Ling Zhang;Xueyuan Tang

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在南北极科学考察中,探冰雷达是研究冰盖下基岩和冰盖内冰信息的有效手段。由于冰的导电性低,极地冰盖的成分相对均匀,因此,与其他地球物理方法相比,透冰雷达能够获得更深、更丰富的数据。然而,为了获得更准确、更丰富的有效信息,仍然需要对雷达数据中的噪声进行抑制。本文将完全非递归的变分模式分解(VMD)应用于探冰雷达数据的降噪处理。VMD是一种自适应准正交信号分解方法,它将机载雷达数据分解为多个频率受限的准正交本征模函数(IMF)。然后根据IMF分量中的信息分布,去除含有噪声的IMF,并重建剩余的IMF。利用该方法对真实的探冰雷达数据进行处理,有效地消除了数据中的干扰噪声,提高了信噪比,得到了更清晰的冰层内层结构。经验证,该方法可以很好地应用于极地探冰雷达资料的降噪处理,为资料解释提供了更好的依据。最后,基于VMD去噪雷达剖面,给出了冰盖内部的精细冰结构。
In the Arctic and Antarctic scientific expeditions, ice-penetrating radar is an effective method for studying the bedrock under the ice sheet and ice information within the ice sheet. Because of the low conductivity of ice and the relatively uniform composition of ice sheets in the polar regions, ice-penetrating radar is able to obtain deeper and more abundant data than other geophysical methods. However, it is still necessary to suppress the noise in radar data to obtain more accurate and plentiful effective information. In this paper, the entirely non-recursive Variational Mode Decomposition (VMD) is applied to the data noise reduction of ice-penetrating radar. VMD is a decomposition method of adaptive and quasi-orthogonal signals, which decomposes airborne radar data into multiple frequency-limited quasi-orthogonal Intrinsic Mode Functions (IMFs). The IMFs containing noise are then removed according to the information distribution in the IMF’s components and the remaining IMFs are reconstructed. This paper employs this method to process the real ice-penetrating radar data, which effectively eliminates the interference noise in the data, improves the signal-to-noise ratio and obtains the clearer inner layer structure of ice. It is verified that the method can be applied to the noise reduction processing of polar ice-penetrating radar data very well, which provides a better basis for data interpretation. At last, we present fine ice structure within the ice sheet based on VMD denoised radar profile.
DOI: --
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