SHORT ABSTRACT: This paper describes the theoretical analysis of a method to detect and classify objects from magnetic maps. The method, originally designed to detect buried UXO by land survey with a magnetometer, is adapted here for underwater survey with a gradiometer. Evaluation is performed on simulated data in order to predict the performance of the adapted algorithm to this new situation....

Several experimental time-domain EM induction instruments have recently been developed for unexploded ordnance (UXO) detection and characterization that use multiple transmitting and receiving coil combinations. One such system, the US Geological Survey’s ALLTEM system, is unique in that it measures both the electrodynamic response (i.e., induced eddy currents) and the magneto-static response (...

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...

The disposal of unexploded ordnance (UXOs) at sea is a global problem. mapping and remediation historic UXOs can be assisted by autonomous underwater vehicles (AUVs) carrying sensor payloads such as synthetic aperture sonar (SAS) optical cameras. AUVs image large areas the seafloor in high resolution, motivating an automated approach to UXO detection. Modern methods commonly use supervised mach...

OBJECTIVE To estimate post-traumatic stress disorder (PTSD) symptoms in those injured and not injured by landmines or unexploded ordnance (UXO) in rural Lao People's Democratic Republic and to determine whether the perception of social support was associated with PTSD symptom severity. METHODS A community survey was conducted among 190 people injured by landmines or UXO and 380 age-, sex- and...

The primary objective of the research presented here is to develop high-accuracy and high-reliability geolocation algorithms and to prototype a hybrid system based on multisensor integration to improve geolocation of geophysical sensors at munitions and explosives of concern (MEC) sites. The current methods used at MEC sites for buried unexploded ordnance (UXO) detection are extremely expensive...

This study analyzed the accuracy of solar cell modeling parameters extracted from noisy data using Genetic Algorithms (GAs). Three crossover operators (XOs) were examined, namely Uniform (UXO), Arithmetic (AXO), and Blend (BXO) operators. The used an experimental benchmark a simulated curve where noise levels (p) 0 to 10% added. For each XO, analysis was carried out by running GAs 100 times var...