Electromagnetic (EM) scattering from subsurface unexploded ordnance (UXO) is investigated both theoretically and experimentally. Three EM models are considered: the multilevel fast multipole algorithm (MLFMA), the method of moments (MoM), and physical optics (PO). The relative accuracy of these models is compared for several scattering scenarios. Moreover, the model results are compared to data...

Surface Penetrating Radars (SPR) are extensively used in Military, Civil, Geophysical and Archaeological applications. In recent times there has been an increasing emphasis on the use of SPRs in the identification of the buried unexploded ordnance, such as anti tank mines, antipersonnel mines etc., which can be metallic or plastic in nature. Mine detection methods can be classified as destructi...

Landmines and UXO (UneXploded Ordnance 1 ) represent a constant and long-lasting threat to the life of millions of individuals. Moreover, these weapons have a strong socio-economic impact on contaminated countries as they involve serious effects as the loss of agricultural fields or access to water. Demining is a critical issue since contaminated areas are large and their clearance often requir...

A new circle detection algorithm based on the gradient of the intensity image is proposed. The method relies on two conditions. The “gradient angle compatibility condition” constraints the gradient of a given percentage of the pixels belonging to some digital circles of radius in the range of radii to detect to point towards the centre of the circle or in the opposite direction. The “curvature ...

We introduce a new type of object characterization, which is capable accurately describing small isolated inclusions for potential field inverse problems such as in electrostatics, magnetostatics, and related low frequency Maxwell problems. Relevant applications include characterizing ferrous unexploded ordnance from magnetostatic measurements magnetometry, conducting medical imaging using elec...

For unexploded O=ordnance (UXO) detection, individual technology cannot achieve the best detection performance. The new mode of joint magnetic and electromagnetic method has attracted more attention. In this paper, a newly developed system is introduced, multi-rotor UAV-based (UAVMAG) cart-based time-domain (TDEM-Cart) are combined, cooperative processing field data proposed. result inversion f...

1. Abstract This paper presents a methodology that combines logistic regression with kriging for incorporating exhaustive secondary information into the mapping of the risk of occurrence of unexploded ordnance (UXO). Logistic regression, which is appropriate for binary data (indicators) analysis, is used to derive the trend component in simple kriging with varying local means (SKlm). The techni...

Landmines, specifically anti-tank mines, cluster bombs, and unexploded ordnance form a serious problem in many countries. Several landmine sweeping techniques are used for minesweeping. This paper presents the design and the implementation of the vision system of an autonomous robot for landmines localization. The proposed work develops state-of-the-art techniques in digital image processing fo...

This paper describes the development of a team of small autonomous robots that are designed to clear a field of unexploded submunitions. The ultimate application goals are to remove the explosive ordnance disposal (EOD) technician from hazards associated with submunitions; to perform the mission efficiently, reliably, and inexpensively; and to record pertinent mission information, such as area ...

We present a method based on principal component analysis (PCA) for suppressing noise and separating signal sources in transient electromagnetic (TEM) data acquired in environmental clean-up and hydrogeophysical applications. Coherent noise due to background responses and incoherent noise often contaminate data in these applications and preprocessing is required for quantitative analyses. In th...