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 …

Ground-penetrating radar (GPR) is a nondestructive testing technology that is widely applied
in infrastructure maintenance, archaeological research, military operations, and other …

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 …

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 …

We propose discrimination algorithms for buried threat detection (BTD) that exploit deep
convolutional neural networks (CNNs) and recurrent neural networks (RNN) to analyze 2-D …

Radio-echo sounding (RES) is a useful technique for measuring the subsurface properties
of ice sheets and glaciers. One of the most important and unique outcomes is the mapping of …

Hidden Markov models (HMMs) have previously been successfully applied to subsurface
threat detection using ground penetrating radar (GPR) data. However, parameter estimation …

We present a novel method for fusing the results of multiple land mine detection algorithms
which use different sensors, features, and different classification methods. The proposed …

Automatic subsurface mapping is essential in the construction services, as it is anticipated to
become the main operational environment of the future robots to be realized in the …

This paper presents methods to automatically classify ground penetrating radar (GPR)
images of crevasses on ice sheets. We use a combination of support vector machines …