Reprint

Advanced Techniques for Ground Penetrating Radar Imaging

Edited by
November 2021
218 pages
  • ISBN978-3-0365-2149-7 (Hardback)
  • ISBN978-3-0365-2150-3 (PDF)

This is a Reprint of the Special Issue Advanced Techniques for Ground Penetrating Radar Imaging that was published in

Engineering
Environmental & Earth Sciences
Summary

Ground penetrating radar (GPR) has become one of the key technologies in subsurface sensing and, in general, in non-destructive testing (NDT), since it is able to detect both metallic and nonmetallic targets. GPR for NDT has been successfully introduced in a wide range of sectors, such as mining and geology, glaciology, civil engineering and civil works, archaeology, and security and defense.

In recent decades, improvements in georeferencing and positioning systems have enabled the introduction of synthetic aperture radar (SAR) techniques in GPR systems, yielding GPR–SAR systems capable of providing high-resolution microwave images. In parallel, the radiofrequency front-end of GPR systems has been optimized in terms of compactness (e.g., smaller Tx/Rx antennas) and cost. These advances, combined with improvements in autonomous platforms, such as unmanned terrestrial and aerial vehicles, have fostered new fields of application for GPR, where fast and reliable detection capabilities are demanded. In addition, processing techniques have been improved, taking advantage of the research conducted in related fields like inverse scattering and imaging. As a result, novel and robust algorithms have been developed for clutter reduction, automatic target recognition, and efficient processing of large sets of measurements to enable real-time imaging, among others.

This Special Issue provides an overview of the state of the art in GPR imaging, focusing on the latest advances from both hardware and software perspectives.

Related Books

November 2019

Recent Advances in GPR Imaging

Environmental & Earth Sciences
October 2021

Trends in GPR and Other NDTs for Transport Infrastructure Assessment

Environmental & Earth Sciences
...
September 2023

SAR-Based Signal Processing and Target Recognition

Environmental & Earth Sciences