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Imaging multiple local changes in heterogeneous media with diffuse waves.

Thomas Planès1, Eric Larose1, Vincent Rossetto2

  • 1ISTerre Université de Grenoble 1 and CNRS, 38041 Grenoble, France.

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Summary
This summary is machine-generated.

This study images local changes in heterogeneous media by analyzing acoustic wave decorrelation. The method maps scattering cross-section density, effectively visualizing alterations within complex media.

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Area of Science:

  • Geophysics and Acoustics
  • Wave Propagation in Complex Media

Background:

  • Imaging local changes in heterogeneous media is crucial for understanding dynamic processes.
  • Traditional methods struggle with the complexity of multiple scattering environments.

Purpose of the Study:

  • To develop and validate a novel method for imaging local changes in heterogeneous media.
  • To utilize acoustic wave propagation and waveform decorrelation for change detection.

Main Methods:

  • Numerical experiments simulating acoustic wave propagation in a multiple scattering medium.
  • Measuring waveform decorrelation induced by introducing new scatterers.
  • Modeling decorrelation using a diffuse sensitivity kernel based on intensity transport.
  • Solving the inverse problem with a linear least squares algorithm.

Main Results:

  • Demonstrated and validated the proposed imaging method using numerical simulations.
  • Successfully mapped the scattering cross-section density of simulated changes.
  • Established spatial and temporal dependencies of waveform decorrelation.

Conclusions:

  • The developed method provides an effective way to image local changes in heterogeneous media.
  • Waveform decorrelation analysis is a viable technique for detecting and localizing alterations.
  • The technique offers a new tool for geophysical and materials science applications.