2d wavelet decomposition and f-k migration for identifying fractured rock areas using ground penetrating radar

Yang Jin, Yunling Duan

Research output: Contribution to journalArticleScientificpeer-review

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Abstract

The quality of the surrounding rock is crucial to the stability of underground caverns, thereby requiring an effective monitoring technology. Ground-penetrating radar (GPR) can reconstruct the subterranean profile by electromagnetic waves, but two significant issues, called clutter and hyperbola tails, affect the signal quality. We propose an approach to identify fractured rocks using 2D Wavelet transform (WT) and F-K migration. F-K migration can handle the hyperbola using Fourier analysis. WT can mitigate clutter, distinguish signal discontinuity, and provide signals with a good time-frequency resolution for F-K migration. In the simulation, the migration result from horizontal detail coefficients highlight the crack locations and reduce the scattering signals. Noise has been separated by 2D WT. Hyperbola tails are decomposed to vertical and diagonal detail coefficients. Similar promising results have been achieved in the field measurement. Therefore, the proposed approach can process GPR signals for identifying fractured rock areas.

Original languageEnglish
Article number2280
Pages (from-to)1-19
Number of pages19
JournalRemote Sensing
Volume13
Issue number12
DOIs
Publication statusPublished - 2021

Keywords

  • 2D wavelet transform
  • F-K migration
  • Fractured rock identification
  • Ground penetrating radar
  • Hyperbola interference
  • Noise
  • Scattered signals

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