Remedial mine detection and the detection of unexploded ordnance (UXO) have become very important for humanitarian reasons. This paper addresses mine detection using commonly used Electromagnetic Induction sensors. We propose and evaluate two neural network approaches to mine detection which provide a robust non-parametric technique, based on training the networks using data from a previously c...

In the last forty years, land mines have become one of the most serious threats to civilian populations in several parts of the world. To address this problem, humanitarian de-mining activities are being undertaken in many of the affected Countries. The de-mining process has, however, been fought with a number of difficulties since land mines and unexploded ordnance (UXO) are very difficult to ...

Euler and extended Euler deconvolution applications use an assumed structural index (SI) or calculate the SI, respectively, for magnetic anomaly data within a specified window. The structural index depends on the source type: specifically, the rate at which the field produced by the source decays. We have examined the effects that the application of low-pass filtering to magnetic data has on es...

The presence of magnetic iron oxides in the soil can seriously hamper the performance of electromagnetic sensors for the detection of buried land mines and unexploded ordnance (UXO). Previous work has shown that spatial variability in soil water content and texture affects the performance of ground penetrating radar and thermal sensors for land mine detection. In this paper we aim to study the ...

STUDY OBJECTIVE To determine commonalities of landmine victim risk factors in two very different countries. DESIGN AND SETTING Data on 249 communities in Chad and 530 in Thailand were collected during 2000-2001 as part of the Global Landmine Survey. Community level variables were analysed in a series of Poisson mixture models with number of landmine victims as the dependent variable. Models d...

We have developed an algorithm for the automatic detection of prospective unexploded ordnance UXO anomalies in total-field or gradient magnetic data based on the concept of the structural index SI of a magnetic anomaly. Identifying magnetic anomalies having specific structural indices enables the direct detection of potential UXO targets. The total magnetic field produced by a dipolelike source...

A new broadband electromagnetic induction (EMI) array sensor, GEM-5, for detecting and characterizing Unexploded Ordnance (UXO) has been developed in order to provide high production rates for EMI surveys. The sensor consists of a single rectangular loop transmitter around a linear array of seven pairs of coaxial receiver coils, with each coil in a pair located at the same vertical distance abo...

Although different biological approaches for detection of anti-personnel mines and other unexploded ordnance (UXO) have been entertained, none of them has been rigorously documented thus far in the scientific literature. The industrial 2,4,6 trinitrotoluene (TNT) habitually employed in the manufacturing of mines is at all times tainted with a small but significant proportion of the more volatil...

OBJECTIVE Open-source information consists of a range of publicly available material, including various periodicals, news reports, journal publications, photographs, and maps. Although intelligence agencies regularly use open-source information in developing strategically important intelligence, the disaster community has yet to evaluate its use for planning or research purposes. This study exa...

An extension of the multilevel fast multipole algorithm (MLFMA), originally developed for targets in free space, is presented for the electromagnetic scattering from arbitrarily shaped three-dimensional (3-D), electrically large, perfectly conducting targets above or embedded within a lossy half space. We have developed and implemented electric-field, magnetic-field, and combined-field integral...