Special Issue "Advances in Signal Processing Techniques for Ground Penetrating Radar Applications"

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Engineering Remote Sensing".

Deadline for manuscript submissions: 31 July 2021.

Special Issue Editors

Prof. Dr. Fabio Tosti
E-Mail Website
Guest Editor
School of Computing and Engineering, University of West London (UWL), London, United Kingdom
Interests: ground-penetrating radar; signal processing; remote sensing; deflection-based methods; numerical simulations; forestry engineering; civil engineering
Special Issues and Collections in MDPI journals
Prof. Dr. Amir M. Alani
E-Mail Website
Guest Editor
School of Computing and Engineering, University of West London (UWL), London, United Kingdom
Interests: ground-penetrating radar; signal processing; remote sensing; civil engineering; soil engineering; forestry engineering
Special Issues and Collections in MDPI journals
Prof. Dr. Francesco Benedetto
E-Mail Website
Guest Editor
Signal Processing for Telecommunications and Economics Laboratory, Rome Tre University, 00146 Rome, Italy
Interests: ground-penetrating radar; radar signal processing; software and cognitive radio; digital signal and image processing for telecommunications and economics
Special Issues and Collections in MDPI journals
Dr. Luca Bianchini Ciampoli
E-Mail Website
Guest Editor
Department of Engineering, Roma Tre University, Rome, Italy
Interests: ground-penetrating radar; remote sensing; InSAR; non-destructive testing; modeling and simulation; railway engineering; road safety and highway engineering; civil engineering
Special Issues and Collections in MDPI journals
Prof. Dr. Evert C. Slob
E-Mail Website
Guest Editor
Department of Geoscience and Engineering, Delft University of Technology, Delft, The Netherlands
Interests: ground-penetrating radar; signal processing, imaging and inversion techniques for electromagnetic diffusive fields and wave fields; radar interferometry

Special Issue Information

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

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • GPR
  • resampling
  • deconvolution
  • band-pass filtering
  • SNR enhancement
  • EM noise
  • attenuation analysis,
  • attribute analysis
  • migration
  • inverse scattering

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

Open AccessFeature PaperArticle
An Enhanced Data Processing Framework for Mapping Tree Root Systems Using Ground Penetrating Radar
Remote Sens. 2020, 12(20), 3417; https://doi.org/10.3390/rs12203417 - 18 Oct 2020
Cited by 1 | Viewed by 580
Abstract
The preservation of natural assets is nowadays an essential commitment. In this regard, root systems are endangered by fungal diseases which can undermine the health and stability of trees. Within this framework, ground penetrating radar (GPR) is emerging as a reliable non-destructive method [...] Read more.
The preservation of natural assets is nowadays an essential commitment. In this regard, root systems are endangered by fungal diseases which can undermine the health and stability of trees. Within this framework, ground penetrating radar (GPR) is emerging as a reliable non-destructive method for root investigation. A coherent GPR-based root-detection framework is presented in this paper. The proposed methodology is a multi-stage data analysis system that is applied to semi-circular measurements collected around the investigated tree. In the first step, the raw data are processed by applying several standard and advanced signal processing techniques in order to reduce noise-related information. In the second stage, the presence of any discontinuity element within the survey area is investigated by analysing the signal reflectivity. Then, a tracking algorithm aimed at identifying patterns compatible with tree roots is implemented. Finally, the mass density of roots is estimated by means of continuous functions in order to achieve a more realistic representation of the root paths and to identify their length in a continuous and more realistic domain. The method was validated in a case study in London (UK), where the root system of a real tree was surveyed using GPR and a soil test pit was excavated for validation purposes. Results support the feasibility of the data processing framework implemented in this study. Full article
Show Figures

Graphical abstract

Back to TopTop