Performance assessment at the Jefferson Proving Ground demonstration of systems for the detection and identification of buried unexploded ordnance

Author(s):  
Michael P. Mulqueen ◽  
Vivian George ◽  
Anne M. Andrews ◽  
David A. Sparrow ◽  
Regina E. Dugan
Geophysics ◽  
2003 ◽  
Vol 68 (6) ◽  
pp. 1877-1887 ◽  
Author(s):  
Haoping Huang ◽  
I. J. Won

We analyze the use of the broadband electromagnetic (EM) method in detecting metallic objects, such as unexploded ordnance (UXO), buried in magnetic environments. Magnetic rocks close to the sensor often contribute a larger in‐phase response than does the target at depth, making target detection and identification difficult. On the other hand, magnetic rocks contribute little quadrature response, which gives rise to the concept of using quadrature response and apparent conductivity to detect metallic objects in highly magnetic environments. To test this concept, we employed numeric models, physical experiments, and field studies. A layered half‐space simulated conductive overburden and magnetic basement. Sphere models are used for isolated magnetic rocks and metal targets. The responses of the layered earth, magnetic rocks, and metal objects were added to obtain the approximate total response. We then inverted the EM data into apparent magnetic permeability and conductivity. The EM response at the lowest frequency was used initially to estimate apparent magnetic permeability, which let us calculate the apparent conductivity using the EM data at all frequencies. The simulations and field examples show that broadband EM sensors can detect small metal targets in magnetic environments, mainly by the quadrature component of the responses and the apparent conductivity.


Geophysics ◽  
2009 ◽  
Vol 74 (1) ◽  
pp. B1-B8 ◽  
Author(s):  
Erika Gasperikova ◽  
J. Torquil Smith ◽  
H. Frank Morrison ◽  
Alex Becker ◽  
Karl Kappler

Electromagnetic induction data parameterized in time-dependent object intrinsic polarizabilities can discriminate unexploded ordnance (UXO) from false targets (scrap metal). Data from a cart-mounted system designed to discriminate UXO of [Formula: see text] in diameter are used. Discriminating UXO from irregular scrap metal is based on the principal dipole polarizabilities of a target. Nearly intact UXO displays a single major polarizability coincident with the long axis of the object and two equal, smaller transverse polarizabilities, whereas metal scraps have distinct polarizability signatures that rarely mimic those of elongated symmetric bodies. Based on a training data set of known targets, objects were identified by estimating the probability that an object is a single UXO. Our test survey took place on a military base where [Formula: see text] mortar shells and scrap metal were present. We detected and correctly discriminated all [Formula: see text] mortars, and in that process we added 7% and 17%, respectively, of dry holes (digging scrap) to the total number of excavations in two different survey modes. We also demonstrated a mode of operation that might be more cost effective than current practice.


Author(s):  
C.D. Humphrey ◽  
T.L. Cromeans ◽  
E.H. Cook ◽  
D.W. Bradley

There is a variety of methods available for the rapid detection and identification of viruses by electron microscopy as described in several reviews. The predominant techniques are classified as direct electron microscopy (DEM), immune electron microscopy (IEM), liquid phase immune electron microscopy (LPIEM) and solid phase immune electron microscopy (SPIEM). Each technique has inherent strengths and weaknesses. However, in recent years, the most progress for identifying viruses has been realized by the utilization of SPIEM.


2002 ◽  
Vol 17 (S2) ◽  
pp. S36
Author(s):  
Oleg O. Bilukha ◽  
M. Brennan ◽  
B. Woodruff
Keyword(s):  

2004 ◽  
Vol 171 (4S) ◽  
pp. 30-30
Author(s):  
Robert C. Eyre ◽  
Ann A. Kiessling ◽  
Thomas E. Mullen ◽  
Rachel L. Kiessling

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