Advances in Signal Processing Techniques for Ground Penetrating Radar Applications

Ground Penetrating Radar (GPR) technology has recently seen enormous advancements in a wide range of applications including the development of new data processing algorithms and interpretation techniques. Numerous GPR applications, which include civil and geotechnical engineering, highway and transport infrastructure, sedimentology, ground-water contamination, glaciology, archaeology and cultural heritage management, forestry, planetary exploration and demining, amongst others, currently exist. Wide applicability of GPR together with the recent advancements within the field has made the GPR technology an area of endeavour with high reliability and trust. Within this framework, the main scope of this Special Issue is to promote the publication of state-of-the-art research-based investigations on GPR signal processing techniques and applications. Hence, papers with a focus on advanced GPR signal processing techniques in areas including, but not limited to, civil and environmental engineering, geology, archaeology, cultural heritage, and forestry management are encouraged. The following are the areas of interest and priority for this Special Issue:

• Non-linear GPR signal processing
• Signal processing for clutter reduction and increase of the SNR for GPR data
• GPR signal, inverse scattering, and image processing techniques for data interpretation
• Velocity and attribute analysis
• Simplified electromagnetic models for real-time GPR signal processing
• Estimation of the electromagnetic properties of materials from radar signals
• Frequency dependent attenuation analysis
• Signal processing for the development of new algorithms and numerical models
• Ground Penetrating Radar signal processing applications
• Artificial Intelligence for GPR
• GPR modelling and inversion for non-conventional platforms (forward looking, radar on UAVs and airborne,..) and MIMO configurations (multiview/multistatic)

Review papers in the above outlined research areas will be also considered.

Prof. Dr. Fabio Tosti
Prof. Dr. Amir M. Alani
Prof. Dr. Francesco Benedetto
Dr. Luca Bianchini Ciampoli
Prof. Dr. Evert C. Slob
Dr. Francesco Soldovieri
Guest Editors

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