Ground-penetrating radar (GPR) is a rapidly develo** field that has seen tremendous
progress over the past 15 years. The development of GPR spans aspects of geophysical …

The usage of unmanned aerial vehicles (UAVs)-based ground penetrating radar (GPR)
systems has gained interest over the last years thanks to advantages over ground-based …

In this paper, we propose a Convolutional Support Vector Machine (CSVM) network for the
analysis of Ground Penetrating Radar B Scan (GPR B Scan) images. Similar to a …

This paper describes an algorithm for land mine detection using sensor data generated by a
ground-penetrating radar (GPR) system that uses edge histogram descriptors for feature …

A variety of algorithms for the detection of landmines and discrimination between landmines
and clutter objects have been presented. We discuss four quite different approaches in …

Ground penetrating radar (GPR)-based discrimination of landmines from clutter is known to
be challenging due to the wide variability of possible clutter (eg, rocks, roots, and general …

Geophysical surveys, a means of analyzing the Earth and its environments, have
traditionally relied on ground-based methodologies. However, up-to-date approaches …

A two-stage algorithm for landmine detection with a ground penetrating radar (GPR) system
is described. First, 3-D data sets are processed using a computationally inexpensive pre …

Ground-penetrating radar (GPR) has been widely used for antipersonnel mine (APM)
detection. However, its efficiency is often impaired by high false alarm rate (FAR) caused by …

In this paper, we consider the application of texture features for antitank landmine detection
in ground-penetrating-radar data in the difficult scenario of very high clutter environments. In …