This study provides forensic search teams with systematic geophysical monitoring data over simulated clandestine graves for comparison to active cases. Simulated ‘wrapped’ and ‘naked’ burials were created. Multi-geophysical surveys were collected over a three-year monitoring period. Bulk ground resistivity, Electrical Resistivity Imaging, multi-frequency Ground Penetrating Radar and grave ‘soil...

Over the last few years high-resolution geophysical techniques, in particular ground-penetrating radar (GPR), have been used in agricultural applications for assessing soil water content variation in a non-invasive way. However, the wide use of GPR is greatly limited by the data processing complexity. In this paper, a quantitative analysis of GPR data is proposed. The data were collected with 2...

In recent years, the ground penetrating radar (GPR) is increasingly used in the detection of riprap embankments. In order to analyze the costal embankment with explosive compaction, model experiments are conducted to investigate the influence of seawater on the signal and image of GPR, especially to figure out the image variation of riprap bottom boundary. The influence of immersion of seawater...

Reflection amplitude at top rebar layer has been used as a main criterion for evaluating attenuation of ground-penetrating radar (GPR) data from concrete bridge decks. However, a recent study has pointed out the limitation of this practice. Motivated by that same research, the current paper presents a robust method for performing GPR attenuation analysis. Also based on correlation between A-sca...

Ground Penetrating Radar (GPR) and airborne thermography have been used for the location of buried spring barrier ponds and for the investigation of the shallow subsoil. Thermography has been selected for its ability to cover a wide area in a short time, the GPR has been chosen for the ability to distinguish, in great detail the presence of permeable layers composing the subsoil. Very positive ...

Ground Penetrating Radar (GPR) measurements can suffer from large amount of noise and clutter. Current methods, such as time gating and background averaging, mostly applied to remove reflections from air-ground interface do not perform well when removal of extraneous, very strong and non-uniform clutter signals originating from the objects in the surveyed area other than the target is needed. T...

Fuzzy Clustering is applied to the problem of detecting landmines. Sensor data generated by a Ground Penetrating Radar (GPR) is processed to detect the mines. The GPR produces a three-dimensional array of intensity values, representing a volume below the surface of the ground. Features are computed from this array and clustered using a fuzzy Competitive Agglom-erative (CA) algorithm. Prototypes...

A cooperative target (CT) has been developed to enhance the ground-penetrating radar (GPR) signal-toclutter ratio for buried man-made targets. Applications include tagging high-value buried structures and monitoring microtunnelling equipment. Results are presented for a time-domain CT, comprised of a dipole antenna connected to an unterminated delay line. Multiple GPR measurements made from sep...

In this paper, we adapt the Faster-RCNN framework for the detection of underground buried objects (i.e. hyperbola reflections) in B-scan ground penetrating radar (GPR) images. Due to the lack of real data for training, we propose to incorporate more simulated radargrams generated from different configurations using the gprMax toolbox. Our designed CNN is first pre-trained on the grayscale Cifar...

In ground penetrating radar (GPR) imaging, a single point target appears as a hyperbolic curve in the space-time image. In order to focus the hyperbolic curves in GPR images, first, the back-projection (BP) imaging algorithm was introduced. This standard BP imaging algorithm, was accompanied by a lot of artifacts, which have adverse effects on targets detection. Second, an improved BP imaging a...