Investigating the effect of data quality on time domain electromagnetic discrimination

Walker, Sean E.; Pasion, Leonard R.; Oldenburg, Douglas W.; Billings, Stephen

doi:10.1016/j.jappgeo.2006.05.005

Cited by 11 publications

(1 citation statement)

References 29 publications

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“…We assessed the focusing technique using test stand data collected at the U.S. Army Engineer Research and Development Center (ERDC), Vicksburg, Mississippi. (see detailed description in Pasion et al, 2007;Walker et al, 2007), and one set of field data from a geophysical prove-out (GPO) site acquired at Camp Sibert, Alabama. Both types of data were acquired with a Geonics EM-63 system with well-controlled sensor positions (e.g., the order of 1-cm accuracy for the GPO survey).…”

Section: Field Datamentioning

confidence: 99%

Adaptive Focusing for Source Localization in EMI Sensing of Metallic Objects: A Preliminary Assessment

Song

Oldenburg

Pasion³

et al. 2008

Journal of Environmental & Engineering Geophysics

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This paper considers a technique to deal with the problem of detecting and localizing objects in the data processing of electromagnetic induction (EMI) sensing. The technique is formulated using the concept of source power, which in our case is defined as the averaged sum of squared elements of a dipolar polarizabiltiy tensor over a measured time window for a transient electromagnetic (TEM) system. Under the valid dipole approximation to an EMI target, the source is point-like and therefore should occupy a small volume in space. This is the fundamental basis of the energy focusing technique for localizing a source. To achieve a focusing effect on a specified source, a focusing operator is constructed by minimizing the total output power subject to a unity response constraint for that assumed source. A closed-form expression is derived for source power as a function of a source location and can be used blindly without knowledge of the number of objects. The source power is related to data via a data covariance matrix, which in practice is computed with enough data samples. The experiments were conducted with the simulated and real data collected by a standard Geonics EM-63 system. The results, which we regard as a proof-of-concept, show that the focusing technique, under adequate signal-to-noise ratio (SNR), is able to accurately localize sources and is promising in EMI array processing.

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Section: Field Datamentioning

confidence: 99%

Adaptive Focusing for Source Localization in EMI Sensing of Metallic Objects: A Preliminary Assessment

Song

Oldenburg

Pasion³

et al. 2008

Journal of Environmental & Engineering Geophysics

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Theoretical Developments in Electromagnetic Induction Geophysics with Selected Applications in the Near Surface

Everett

2011

Surv Geophys

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Near-surface applied electromagnetic geophysics is experiencing an explosive period of growth with many innovative techniques and applications presently emergent and others certain to be forthcoming. An attempt is made here to bring together and describe some of the most notable advances. This is a difficult task since papers describing electromagnetic induction methods are widely dispersed throughout the scientific literature. The traditional topics discussed herein include modeling, inversion, heterogeneity, anisotropy, target recognition, logging, and airborne electromagnetics (EM). Several new or emerging techniques are introduced including landmine detection, biogeophysics, interferometry, shallow-water electromagnetics, radiomagnetotellurics, and airborne unexploded ordnance (UXO) discrimination. Representative case histories that illustrate the range of exciting new geoscience that has been enabled by the developing techniques are presented from important application areas such as hydrogeology, contamination, UXO and landmines, soils and agriculture, archeology, and hazards and climate.

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Application of a library based method to time domain electromagnetic data for the identification of unexploded ordnance

Pasion

Billings

Oldenburg

et al. 2007

Journal of Applied Geophysics

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Investigating the effect of data quality on time domain electromagnetic discrimination

Cited by 11 publications

References 29 publications

Adaptive Focusing for Source Localization in EMI Sensing of Metallic Objects: A Preliminary Assessment

Adaptive Focusing for Source Localization in EMI Sensing of Metallic Objects: A Preliminary Assessment

Theoretical Developments in Electromagnetic Induction Geophysics with Selected Applications in the Near Surface

Application of a library based method to time domain electromagnetic data for the identification of unexploded ordnance

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