ScholarLens Back to search
2019•Journal of electromagnetic engineering and scienceOpen access

Analysis and Modeling of GPR Signals to Detect Cavities: Case Studies in Morocco

Gamil Alsharahi, Ahmed Faize, Carmen Maftei, Mohamed Bayjja, Mohamed Louzazni, Abdellah Driouach, Abdellatif Khamlichi

Open full text 17 citations

Abstract

This research studied the detection of cavities and other abnormalities in subsoil utilizing ground penetrating radar (GPR) and an algorithm developed under MATLAB.The study also analyzed and modeled GPR signals to find the exact location of cavities in the subsoil.The algorithm was based on the finite difference time domain (FDTD) method to simulate cavities and compare them with an experimental study.This study used GPR with 400 MHz and 200 MHz to investigate and detect cavities.Three different areas were chosen with different proprieties of subsoil to detect the cavities: mountainous, coastal, and lowland areas.The results show high accuracy in the detection of cavities using GPR.

Open-access reader

About this research paper

What this paper is about

This research studied the detection of cavities and other abnormalities in subsoil utilizing ground penetrating radar (GPR) and an algorithm developed under MATLAB.The study also analyzed and modeled GPR signals to find the exact location of cavities in the subsoil.The algorithm was based on the finite difference time domain (FDTD) method to simulate cavities and compare them with an experimental study.This study used GPR with 400 MHz and 200 MHz to investigate and detect cavities.Three different areas were chosen with different proprieties of subsoil to detect the cavities: mountainous, coastal, and lowland areas.The results show high accuracy in the detection of cavities using GPR.

Why it matters

OpenAlex reports 17 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

This research studied the detection of cavities and other abnormalities in subsoil utilizing ground penetrating radar (GPR) and an algorithm developed under MATLAB.The study also analyzed and modeled GPR signals to find the exact location of cavities in the subsoil.The algorithm was based on the finite difference time domain (FDTD) method to simulate cavities and compare them with an experimental study.This study used GPR with 400 MHz and 200 MHz to investigate and detect cavities.Three different areas were chosen with different proprieties of subsoil to detect the cavities: mountainous, coastal, and lowland areas.The results show high accuracy in the detection of cavities using GPR.

Key concepts: Ground-penetrating radar, Subsoil, Finite-difference time-domain method, MATLAB, Geology, Radar, Remote sensing, Time domain

Related papers

Related paper 1Related paper 2Related paper 3
Back to paper searchBrowse research topicsOriginal source
Analysis and Modeling of GPR Signals to Detect Cavities: Case Studies in Morocco — Research Paper | ScholarLens