Detection and Discrimination of Land Mines in Ground-Penetrating Radar Based on Edge Histogram Descriptors and a Possibilistic -Nearest Neighbor Classifier

H Frigui, P Gader - IEEE Transactions on Fuzzy Systems, 2008 - ieeexplore.ieee.org
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 Comprehensive Review of Conventional and Deep Learning Approaches for Ground-Penetrating Radar Detection of Raw Data

X Bai, Y Yang, S Wei, G Chen, H Li, Y Li, H Tian… - Applied Sciences, 2023 - mdpi.com
Ground-penetrating radar (GPR) is a nondestructive testing technology that is widely applied
in infrastructure maintenance, archaeological research, military operations, and other …

GPR B scan image analysis with deep learning methods

U Ozkaya, F Melgani, MB Bejiga, L Seyfi, M Donelli - Measurement, 2020 - Elsevier
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 large-scale systematic evaluation of algorithms using ground-penetrating radar for landmine detection and discrimination

JN Wilson, P Gader, WH Lee, H Frigui… - IEEE Transactions on …, 2007 - ieeexplore.ieee.org
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 …

Application of convolutional and recurrent neural networks for buried threat detection using ground penetrating radar data

M Moalla, H Frigui, A Karem… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
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 …

Feature tracing in radio-echo sounding products of terrestrial ice sheets and planetary bodies

H Moqadam, O Eisen - EGUsphere, 2024 - egusphere.copernicus.org
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 …

Multiple-instance hidden Markov model for GPR-based landmine detection

A Manandhar, PA Torrione, LM Collins… - IEEE transactions on …, 2014 - ieeexplore.ieee.org
Hidden Markov models (HMMs) have previously been successfully applied to subsurface
threat detection using ground penetrating radar (GPR) data. However, parameter estimation …

Context-dependent multisensor fusion and its application to land mine detection

H Frigui, L Zhang, PD Gader - IEEE Transactions on …, 2010 - ieeexplore.ieee.org
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 …

3d underground mapping with a mobile robot and a gpr antenna

G Kouros, I Kotavelis, E Skartados… - 2018 IEEE/RSJ …, 2018 - ieeexplore.ieee.org
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 …

Crevasse detection in ice sheets using ground penetrating radar and machine learning

RM Williams, LE Ray, JH Lever… - IEEE Journal of …, 2014 - ieeexplore.ieee.org
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 …