Detection of a thin layer by seismic reflection with different geophones at a site in Liangzhu, Southeastern China

Lizan, Abdullah; Tian, Gang; Wang, Yimin; Chen, Ran; Shaihk, Shahid; Liu, Haiyan

doi:10.1007/s12517-019-4778-1

Cited by 1 publication

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“…Prior GPR research has provided a small amount of information about the Liangzhu site's encased prehistoric culture and identity due to the impact of moisture content on clay-rich soil types. Previously, the experimental studies failed to image a 1 m deep layer of stone blocks with an average diameter of more than 20 cm, which include 1 GHz and 500 MHz with a trace distance of 0.01 m and 250, 200, and 100 MHz with a trace range of 0.05 m (Lizan et al, 2019).…”

Section: Figurementioning

confidence: 99%

Analysis of 2D and 3D GPR data interpretation using continuous wavelet transforms: Case study from an archaeological test site

Iqbal

Xiong²,

Tian³

et al. 2022

Front. Earth Sci.

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Ground-penetrating radar (GPR) is one of the most important techniques for obtaining high-resolution data in archaeological research, and it is becoming increasingly important. The continuous wavelet transform (CWT), which is non-numerical technique, gives an overcomplete representation of a signal by continuously varying the wavelet’s translation and scale parameters in the time series dataset. This paper focuses on the novel technique of integrating CWT and the wavelet transform maxima (WTM) to extract information from an archaeological test site in south-eastern China. For the characterization of archaeological features, we assessed the importance of dense and accurate data collection as well as GPR signal processing. The mathematical formulation and applicability of GPR attributes, particularly amplitude-based attributes, to identify and characterize archaeological buried targets are also discussed. GPR data is acquired using co-polarized and cross-polarized configurations with transverse-electric (TE) and transverse-magnetic (TM) broadside frequency plates at 100 and 200 MHz. Next, CWT was applied using six different wavelet levels, followed by amplitude comparison. The archaeological targets were successfully interpreted using peak amplitude and CWT. The proposed methodology has significantly improved data visualization and interpretation of GPR data, and it also gave us good results in identifying archaeological anomalies.

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Section: Figurementioning

confidence: 99%