IEEE Journal of Microwaves (Jan 2022)

A Microwave Tomography System Using Time-Reversal Imaging for Forestry Applications

  • Saptarshi Mukerjee,
  • John Doroshewitz,
  • Jason M. Merlo,
  • Christopher Oakley,
  • Lalita Udpa,
  • David MacFarlane,
  • Emily Huff,
  • Jeffrey A. Nanzer

DOI
https://doi.org/10.1109/JMW.2022.3199194
Journal volume & issue
Vol. 2, no. 4
pp. 614 – 625

Abstract

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A healthy urban forest is important to improve both human health and overall environmental quality. There is currently a lack in technology that has the ability to evaluate living trees in their natural environment without invasive destructive sampling. This work presents a cost-effective, real-time microwave tomography system for practical forestry applications. The scattering measurement system is designed using wide band microstrip monopole antennas (1--5 GHz) and coupled to a switching matrix and a controlling software for automated real-time data collection. A time reversal signal processing algorithm is developed for performing imaging, based on the measurements. The imaging system is initially validated by imaging simple cylindrical targets and finally utilized for imaging defects in different tree trunk samples. Preliminary experimental results demonstrate the practicality, novelty and benefits of this approach for forestry imaging applications.