Detection and Classification of Buried Metallic Objects UX-1225

Morrison, Frank; Smith, Torquil; Becker, Alex; Gasperikova, Erika

doi:10.2172/840326

Cited by 4 publications

(3 citation statements)

References 12 publications

(14 reference statements)

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“…Not only are they incapable of resolving τ M for many targets of interest, but they are also incapable of resolving the late stage decay time scale τ 0 for most objects of interest. The design study [29] concluded that the BUD sensors would provide adequate classification performance, but a comprehensive assessment of the added value of extended bandwidth plus measured on-time response for bulk magnetization has not been performed. Such a study would help establish the limits of UXO/clutter classification performance that can be achieved with EMI sensors.…”

Section: Conclusion and Recommendationsmentioning

confidence: 99%

Phenomenology and Signal Processing for UXO/Clutter Discrimination

Bell¹

2009

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Section: Conclusion and Recommendationsmentioning

confidence: 99%

Phenomenology and Signal Processing for UXO/Clutter Discrimination

Bell¹

2009

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“…A total of six linearly independent measurements are routinely made with fully-polarimetric systems by operating different transmitting and receiving coil combinations. Fully polarimetric datasets greatly reduce ambiguity in target characterization [6,7]. Examples of fullypolarimetric systems include the U.S. Geological Survey's ALLTEM system [8], the Berkeley UXO Discriminator [9], and the MetalMapper (D. Snyder and D. George, pers.…”

Section: Introductionmentioning

confidence: 99%

“…Many algorithms have been created to estimate the shape of UXO targets from EM induction measurements [6,[10][11][12], and passive magnetic measurements [13,14] based on the target's equivalent induced dipole moments. It has been shown that the uncertainty in estimated target shapes is reduced by analyzing datasets from both EM induction sensors and passive magnetometers [10,15].…”

Section: Introductionmentioning

confidence: 99%

Combining Advances in Em Induction Instrumentation and Inversion Schemes for Uxo Characterization

Oden¹

2012

PIER B

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Abstract-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 (i.e., induced magnetization). This allows target characterization based on the dyadic polarizability of both responses. This paper examines the numerical response of the ALLTEM instrument due to spheroidal, conductive, and permeable UXO targets; and to conductive and optionally viscous magnetic earth. An inversion scheme is presented for spheroidal targets that incorporates fully polarimetric measurements for both magneto-static and electro-dynamic excitations. The performance of the inversion algorithm is evaluated using both simulated and surveyed data. The results are examined as a function of the number of coil combinations, number of instrument locations, and uncertainty in sensor location and orientation. Results from the specific cases tested (prolate spheroids lying horizontally) show that 1) that collecting data from more than 12 sensor locations or from more than four coil combinations reduced the chances that inversion solutions would be from a local minimum, and 2) that uncertainties in position greater than 3 cm or in orientation greater than 10 degrees cause errors in the estimated spheroid principal lengths of greater than 100%. Soil conductivities less than 1 S/m contribute negligible interference to the target response, but viscous magnetic soils with permeabilities greater than 10 −6 MKS units do cause detrimental interference.

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Adaptive Sensing for Improving Detection of Unexploded Ordnances

Chen

2008

AIAA Guidance, Navigation and Control Conference and Exhibit

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Detection and Classification of Buried Metallic Objects UX-1225

Cited by 4 publications

References 12 publications

Phenomenology and Signal Processing for UXO/Clutter Discrimination

Phenomenology and Signal Processing for UXO/Clutter Discrimination

Combining Advances in Em Induction Instrumentation and Inversion Schemes for Uxo Characterization

Adaptive Sensing for Improving Detection of Unexploded Ordnances

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