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 …
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
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 …
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 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 …
described. Fusion is performed by Choquet integration of classifier outputs with respect to …
Context-dependent multisensor fusion and its application to land mine detection
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 …
which use different sensors, features, and different classification methods. The proposed …
Functions of multiple instances for learning target signatures
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) …
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
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 …
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
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 …
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
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 …
a serious problem today. One of the commonly used technology is Ground penetrating …
Landmine detection using discrete hidden Markov models with Gabor features
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 …
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 …
based on an SVM classifier. The kernel function for the SVM is constructed using discrete …