Pseudopulse near-field subsurface tomography.

Area of Science:

• Geophysics
• Electromagnetism
• Imaging Science

Background:

• Traditional subsurface tomography faces limitations due to the Rayleigh diffraction limit, restricting resolution.
• Surface scattering noise can degrade the quality of subsurface imaging results.
• Developing advanced imaging techniques is crucial for accurate subsurface structure analysis.

Purpose of the Study:

• To develop a novel subsurface near-field scanning tomography method.
• To overcome the resolution limitations imposed by the Rayleigh diffraction limit.
• To enhance the depth resolution and suppress noise in subsurface imaging.

Main Methods:

• Transformation of the multifrequency inverse scattering problem into a complex-valued synthesized pulse (pseudopulse) problem.
• Development of an integral equation with maxima in depth dependence for improved resolution.
• Application of microwave subsurface tomography to 3D inhomogeneous dielectric structures.
• Utilizing the method for holography imaging of homogeneous dielectric targets.

Main Results:

• Achieved decisive success in developing subsurface near-field scanning tomography.
• Overcame the Rayleigh diffraction limit, significantly improving resolution.
• Demonstrated much better depth resolution due to the integral equation's properties.
• Successfully suppressed noise related to surface scattering.
• Obtained holography images of homogeneous dielectric targets' shapes.

Conclusions:

• The developed subsurface tomography method offers superior resolution and noise suppression.
• This approach provides a significant advancement in imaging 3D inhomogeneous dielectric structures.
• The technique is effective for both detailed subsurface imaging and shape holography.