Some good practices for applying convolutional neural networks to buried threat detection in Ground Penetrating Radar

D Reichman, LM Collins… - 2017 9th International …, 2017 - ieeexplore.ieee.org
Ground Penetrating Radar (GPR) is a remote sensing modality that has been researched
extensively for buried threat detection. For this purpose, algorithms can be developed to …

A large-scale multi-institutional evaluation of advanced discrimination algorithms for buried threat detection in ground penetrating radar

JM Malof, D Reichman, A Karem… - … on Geoscience and …, 2019 - ieeexplore.ieee.org
In this paper, we consider the development of algorithms for the automatic detection of
buried threats using ground penetrating radar (GPR) measurements. GPR is one of the most …

Minimum classification error training for Choquet integrals with applications to landmine detection

A Mendez-Vazquez, P Gader, JM Keller… - … on Fuzzy Systems, 2008 - ieeexplore.ieee.org
A novel algorithm for discriminative training of Choquet-integral-based fusion operators is
described. Fusion is performed by Choquet integration of classifier outputs with respect to …

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 …

Functions of multiple instances for learning target signatures

C Jiao, A Zare - IEEE transactions on geoscience and remote …, 2015 - ieeexplore.ieee.org
The functions of multiple instances (FUMI) approach for learning target and nontarget
signatures is introduced. FUMI is a generalization of the multiple-instance learning (MIL) …

An evaluation of several fusion algorithms for anti-tank landmine detection and discrimination

H Frigui, L Zhang, P Gader, JN Wilson, KC Ho… - Information …, 2012 - Elsevier
Many algorithms have been proposed for detecting anti-tank landmines and discriminating
between mines and clutter objects using data generated by a ground penetrating radar …

Feature vector for underground object detection using B-scan images from GprMax

İ Meşecan, B Cico, İÖ Bucak - Microprocessors and Microsystems, 2020 - Elsevier
One common technology for underground object detection is Ground Penetrating Radar. For
landmine detection, it is vital to have a fast and accurate method. It becomes more difficult …

Searching the effects of image scaling for underground object detection using KMeans and KNN

I Mesecan, IÖ Bucak - 2014 European Modelling Symposium, 2014 - ieeexplore.ieee.org
With the increase in conflicts between countries, underground object detection has become
a serious problem today. One of the commonly used technology is Ground penetrating …

Landmine detection using discrete hidden Markov models with Gabor features

H Frigui, O Missaoui, P Gader - Detection and Remediation …, 2007 - spiedigitallibrary.org
We propose a general method for detecting landmine signatures in vehicle mounted ground
penetrating radar (GPR) using discrete hidden Markov models and Gabor wavelet features …

AN SVM classifier with HMM-based kernel for landmine detection using ground penetrating radar

A Hamdi, O Missaoui, H Frigui - 2010 IEEE International …, 2010 - ieeexplore.ieee.org
We propose a landmine detection algorithm using ground penetrating radar data that is
based on an SVM classifier. The kernel function for the SVM is constructed using discrete …