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Abstract

Summary

In this study we apply Complete Ensemble Empirical Mode Decomposition on several GPR lines derived from a survey at Magoula Almyriotiki, a Neolithic settlement in Thessaly, Greece where buried structures are identified but are obscured by noise. The workflow we followed consists of a preprocess step (time zero, dewow, gain and background removal) followed by decomposition with CEEMD. The modes that exhibit less noise and at the same time gather all the reflections from the buried houses, were the third and the fifth IMF. Their summation was then used to calculate instantaneous envelope and to extract slices. From the obtained results the images are significantly improved highlighting further details of the buried antiquities, suggesting that CEEMD is a promising tool for processing GPR data when combined with standard filters and corrections.

© EAGE Publications BV
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/content/papers/10.3997/2214-4609.201414186
2015-10-05
2024-04-25

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References

  1. Cuenca-García, C., Sarris, A., Kalayci, T., Simon, F.-X., Cantoro, G., Donati, J.C., Manataki, M., Vouzaxakis, K., Rondiri, V., Arachoviti, P., et al.
    (2014). Walking over Magoulas: Mapping Neolithic Tell Settlements in Thessaly (Greece) using Integrated Archaeo-geophysical Techniques. (Burgos).
     [Google Scholar]
  2. Flandrin, P., Gonçalves, P., and Rilling, G.
    (2005). EMD equivalent filter banks, from interpretation to applications. In Hilbert-Huang Transform and Its Applications, (Singapore: World Scientific), pp. 67– 87.
     [Google Scholar]
  3. Huang, N.E., Shen, Z., Long, S.R., Wu, M.C., Shih, H.H., Zheng, Q., Yen, N.-C., Tung, C.C., and Liu, H.H.
    (1998). The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis. Proc. R. Soc. Lond. Ser. Math. Phys. Eng. Sci.454, 903–995.
     [Google Scholar]
  4. Li, J., Liu, C., Zeng, Z., and Chen, L.
    (2015). GPR Signal Denoising and Target Extraction With the CEEMD Method. IEEE Geosci. Remote Sens. Lett. PP, 1–5.
     [Google Scholar]
  5. Manataki, M., Vafidis, A., and Sarris, A.
    (2014). Application of empirical mode decomposition methods to ground penetrating radar data. First Break32, 67–71.
     [Google Scholar]
  6. Spanoudakis, S.N., and Vafidis, A.
    (2010). GPR-PRO: A MATLAB module for GPR data processing. In 2010 13th International Conference on Ground Penetrating Radar (GPR), pp. 1–5.
     [Google Scholar]
  7. Torres, M.E., Colominas, M.A., Schlotthauer, G., and Flandrin, P.
    (2011). A complete ensemble empirical mode decomposition with adaptive noise. In 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 4144–4147.
     [Google Scholar]
  8. Tzanis, A.
    (2006). Matgpr: A freeware matlab package for the analysis of common-offset GPR data. In Geophysical Research Abstracts Vol. 8. No. 09448.
     [Google Scholar]
  9. Wu, Z., and Huang, N.E.
    (2009). Ensemble empirical mode decomposition: a noise-assisted data analysis method. Adv. Adapt. Data Anal.Adv. Adapt. Data Anal.01, 1–41.
     [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201414186
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Employing CEEMD for Improving GPR Images - A Case Study from a Neolithic Settlement in Thessaly, Greece
Conference Proceedings 2015, 1 (2015); https://doi.org/10.3997/2214-4609.201414186
/content/papers/10.3997/2214-4609.201414186
/content/papers/10.3997/2214-4609.201414186
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