In most field environments, unexploded ordnance (UXO) items are found among extensive surface and subsurface clutter and shrapnel from ordnance. Traditional algorithms for UXO remediation experience severe difficulty distinguishing buried targets from anthropic clutter. Furthermore, naturally occurring magnetic geologic noise often adds to the complexity of the discrimination task. These proble...

A 200 acre magnetic survey was collected and processed under production survey conditions over a site in Montana contaminated with unexploded ordnance (UXO). All anomalies with fitted moments above 0.05 Am2 were excavated. During the survey the magnetic remanence metric was predicted but not used to guide the discrimination. The retrospective analysis presented here reveals that discrimination ...

Past unexploded ordnance (UXO) clearance projects have demonstrated that the ability to detect UXO can be seriously hindered by the presence of magnetic rocks and soils. In particular, magnetic material affects the decay curve characteristics in electromagnetic surveys and this can adversely affect inversion calculations that try to estimate parameters of the UXO or answer the question of wheth...

Introduction: The gradual development of coastal areas throughout the world in proximity to military training ranges and areas of past conflict has created a need to locate underwater unexploded ordnance (UXO). These ordnance, which may have veered off course and failed to detonate when they were initially released, may still pose a risk of explosion if they are subject to handling. This compli...

It is proposed to use 14 MeV neutrons tagged by the associated particle neutron time-of-flight technique (APnTOF) to identify the fillers of unexploded ordnances (UXO) by characterizing their carbon, nitrogen and oxygen contents. To facilitate the design and construction of a prototype system, a preliminary simulation model was developed, using the Geant4 toolkit. This work established the tool...

Surface magnetic anomaly observed in UXO clearance is mainly dipolar and, as a result, the dipole is the only moment used regularly in UXO applications. The dipole moment contains intensity of magnetization information but lacks shape information. Unlike dipole, higher-order moments, such as quadrupole and octupole, encode asymmetry properties of magnetization distribution within buried targets...

This paper presents a workflow for UXO detection based on multibeam data in combination with AUV-based ground truth. An artificial neuronal network (ANN) is trained manually annotated and aims making the generation of target lists faster more objective. Prior to annotation checked according several quality factors ensure that it fits purpose object detection. The accuracy annotations has an inf...