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Aggregation of Choquet integrals in GPR and EMI for handheld platform-based explosive hazard detection

Published: May 22nd, 2017

Abstract: Substantial interest resides in identifying sensors, algorithms and fusion theories to detect buried explosive hazards. This is a significant research effort because it impacts the safety and lives of […]

LBP Features for Hand-Held Ground Penetrating Radar

Published: Apr 24th, 2017

Abstract: Ground penetrating radar (GPR) has the ability to detect buried targets with little or no metal content. Achieving superior detection performance with a hand-held GPR can be very challenging […]

Fourier Features for Explosive Hazard Detection using a Wideband Electromagnetic Induction Sensor

Fourier Features for Explosive Hazard Detection using a Wideband Electromagnetic Induction Sensor

Published: Apr 14th, 2017

Abstract: Sensors which use electromagnetic induction (EMI) to excite a response in conducting bodies have been investigated for the purpose of detecting buried explosives. In particular, wide band EMI sensors […]

Binary Fuzzy Measures and Choquet Integration for Multi-Source Fusion

Published: Mar 18th, 2017

Abstract: Countless challenges in engineering require the intelligent combining (aka fusion) of data or information from multiple sources. The Choquet integral (ChI), a parametric aggregation function, is a well-known tool […]

Genetic Programming Based Choquet Integral for Multi-Source Fusion

Published: Mar 15th, 2017

Abstract: While the Choquet integral (ChI) is a powerful parametric nonlinear aggregation function, it has limited scope and is not a universal function generator. Herein, we focus on a class […]

Adaptive coherence estimator (ACE) for explosive hazard detection using wideband electromagnetic induction (WEMI)

Published: Apr 11th, 2016

Abstract: The adaptive coherence estimator (ACE) estimates the squared cosine of the angle between a known target vector and a sample vector in a whitened coordinate space. The space is […]

Buried object detection using handheld WEMI with task-driven extended functions of multiple instances

Published: Apr 11th, 2016

Abstract: Many effective supervised discriminative dictionary learning methods have been developed in the literature. However, when training these algorithms, precise ground-truth of the training data is required to provide very […]

On the use of log-gabor features for subsurface object detection using ground penetrating radar

Published: Apr 11th, 2016

Abstract: Handheld ground penetrating radar (GPR) enables the detection of subsurface objects under different terrains or over regions with significant amount of metal debris. The challenge for the handheld GPR […]

Anomaly detection of subsurface objects using handheld ground-penetrating radar

Published: May 11th, 2015

Abstract: This paper develops an anomaly detection algorithm for subsurface object detection using the handheld ground penetrating radar. The algorithm is based on the Mahalanobis distance measure with adaptive update […]

Landmine classification using possibilistic K-nearest neighbors with wideband electromagnetic induction data

Published: Jun 11th, 2013

Abstract: A possibilistic K-Nearest Neighbors classifier is presented to classify mine and non-mine objects using data collected from a wideband electromagnetic induction (WEMI) sensor. The proposed classifier is motivated by […]