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NMR Spectrometers: Radiofrequency Pulses and Pulse Sequences

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IR Frequency Region: Fingerprint Region01:03

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Updated: Jun 12, 2026

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar
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Time-frequency joint imaging algorithm for borehole radar logging.

Longfei Dang1, Miao Yang2, Chun Yang3

  • 1Department of Criminal Technology, Sichuan Police College, Luzhou, 646000, China.

Scientific Reports
|June 10, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces a new borehole radar imaging algorithm that significantly extends detection range to 10m and improves spatial resolution to centimeters. This advancement overcomes limitations of current methods for identifying features in complex geological formations.

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Area of Science:

  • Geophysics
  • Borehole Geophysics
  • Radar Imaging

Background:

  • Borehole radar logging faces challenges in achieving both long detection ranges and high spatial resolution.
  • Existing imaging algorithms struggle with distant targets, target tracking, and low-scattering features.
  • There is a critical need to resolve the trade-off between detection range and spatial resolution in borehole radar.

Purpose of the Study:

  • To develop a novel time-frequency joint imaging algorithm for borehole radar.
  • To enhance target detection range and spatial resolution beyond conventional logging methods.
  • To address limitations in imaging distant, moving, or low-scattering targets in complex formations.

Main Methods:

  • Proposed a time-frequency joint imaging algorithm utilizing direct-wave referenced processing.
  • Implemented amplitude normalization and time-base synchronization using the direct wave as a benchmark.
  • Employed hybrid-domain digital filtering (wavelet transform and Fourier bandpass filtering) and adaptive time-varying amplification.

Main Results:

  • Achieved a detection range extension from < 3 m (conventional methods) to 8.5-10 m.
  • Improved spatial resolution to the centimeter level (5-10 cm).
  • Demonstrated suppression of source jitter, mitigation of out-of-band noise, and compensation for signal attenuation.

Conclusions:

  • The novel algorithm effectively overcomes the range-resolution contradiction in borehole radar imaging.
  • The proposed framework offers a viable solution for long-range, high-resolution imaging in complex geological settings.
  • Further validation across diverse geological environments is recommended.