Modeling and Implementation of a Joint Airborne Ground Penetrating Radar and Magnetometer System for Landmine Detection

• Published in: Remote sensing (Basel, Switzerland) Vol. 15; no. 15; p. 3813
• Main Authors: Lee, Junghan, Lee, Haengseon, Ko, Sunghyub, Ji, Daehyeong, Hyeon, Jongwu
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01-08-2023
• Subjects: Accuracy; Airborne radar; Algorithms; Data processing; Deep learning; Design parameters; Detectors; Dielectric properties; Filtration; Geospatial data; Ground penetrating radar; ground-penetrating radar (GPR); joint airborne GPR and MAG system; Land mines; landmine detection; Landmines; Magnetic anomalies; Magnetic dipoles; Magnetic fields; magnetometer (MAG); Magnetometers; Mathematical models; Mine detection; Neural networks; Open source software; Radar; Sensors; Simulation methods; Singular value decomposition; Spatial data; Technology application; Time domain analysis; Unmanned aerial vehicles
• ISSN: 2072-4292; 2072-4292
• DOI: 10.3390/rs15153813

We modeled and implemented a joint airborne system integrating ground penetrating radar (GPR) and magnetometer (MAG) models specifically for landmine detection applications. We conducted both simulations and experimental analyses of the joint airborne GPR and MAG models, with a focus on detecting the metallic components of different types of landmines, including antitank (AT) M15 metallic, antipersonnel (AP) M16 metallic, and AT M19 plastic (minimum-metal) landmines. The GPR model employed the finite-difference time-domain (FDTD) method and was evaluated using a singular value decomposition (SVD) and Kirchhoff migration (KM) with matched filtering (MF). These advanced techniques enabled the automatic identification and precise focusing of the reflected hyperbolic signals emitted by the landmines while considering cross-range resolution. Additionally, the MAGs were utilized based on the magnetic dipole model with a de-trend and a spatial median filtering method to estimate the magnetic anomaly of the landmines while considering various data spatial intervals. The joint airborne GPR and MAG system was implemented by combining and integrating the GPR and MAG models for experimental validation. Through this comprehensive approach, which included experiments, simulations, and data processing, the design parameters of the final system were obtained. These design parameters can be used in the development and application of landmine detection systems based on airborne GPR and MAG technology.