Comparison of Performance of Airborne Magnetic and Transient Electromagnetic Systems for Ordnance Detection and Mapping

Beard, Les P.; Doll, William E.; Gamey, T. Jeffrey; Holladay, J. Scott; Lee, James L. C.; Eklund, Nathan W.; Sheehan, Jacob R.; Norton, Jeannemarie

doi:10.2113/jeeg13.3.291

Cited by 8 publications

(2 citation statements)

References 16 publications

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“…The cluster of small artifacts at the lower right corner of the Tran site (Figure 2) is missed by the G i Ã analysis because these artifacts are too small and/or deeply buried to be detected by the EM-63. These results are similar to those of Beard et al (2008) in that small buried objects were missed because they fall below the threshold of EM-63 detection. This cluster was detected by the magnetometer, however, as a dipolar anomaly (Figure 4).…”

Section: Tran Control Sitesupporting

confidence: 83%

Electromagnetic induction in subsurface metal targets: Cluster analysis using local point-pattern spatial statistics

et al. 2012

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The detection and localization of statistically significant spatial clustering of buried metal artifacts for applications, including archaeological, environmental site assessment, and civil infrastructure mapping, can be performed reliably, inexpensively, and noninvasively using transient electromagnetic (EM) geophysics. The local G i Ã ðdÞ statistic based on a weighted spatial autocorrelation were used to detect and localize statistically significant clustering of buried metal objects from gridded electromagnetic responses acquired at a seeded control site and at an active historical archaeological site in Paint Rock, Texas. This statistic compares the local EM millivolt response values about point i radially to the global mean and variance to calculate the G i Ã statistic as a standard variate at various length scales, which can therefore be assessed for significance. Because the local G i Ã ðdÞ statistic compares local to global averages, it spatially compacts the amplitude response signal of the EM data. The resulting spatial cluster maps conformed well to the known distribution of metal targets buried at the control site, and enabled a successful excavation strategy with a significant reduction in false positives encountered at the archaeological site, when compared with more traditional methods.

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Section: Tran Control Sitesupporting

confidence: 83%

Electromagnetic induction in subsurface metal targets: Cluster analysis using local point-pattern spatial statistics

et al. 2012

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“…Aeromagnetic exploration is an important method used in geophysical prospecting, especially in mineral exploitation, underground unexploded ordnance detection, and underwater target detection [ 1 , 2 , 3 , 4 ]. Compared with surface and satellite magnetic surveys, aeromagnetic exploration has huge advantages in terms of resolution, efficiency, and security [ 5 , 6 ].…”

Section: Introductionmentioning

confidence: 99%

A Novel Strategy for Improving the Aeromagnetic Compensation Performance of Helicopters

Chen

Zhu

et al. 2018

Sensors

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An aeromagnetic survey is an important method in magnetic anomaly detection and geophysical prospecting. The magnetic field is typically measured by optically pumped magnetometers (OPM) installed on the aircraft. The measurement accuracy of the OPM is easily affected by the platform-generated magnetic fields. Therefore, aeromagnetic compensation is necessary. The traditional compensation model only considers the permanent, induced, and eddy current interference magnetic field of the aircraft platform. However, the interference field produced by the avionics system, and the relative motion between the aircraft and the magnetometer, are still not taken into account. To address this issue, we proposed a novel strategy to eliminate the additional interference of the platform with two OPMs. Among them, the OPM located farther away from the aircraft serves as a sensing magnetometer, whereas the near OPM serves as a reference magnetometer. The coherent noise suppression method is used to process the residual magnetic field interference after compensation. By establishing the interference magnetic transfer function between the two sensors, the interference field can be suppressed. The results of the experiments demonstrate the effectiveness of the novel strategy, and the standard deviation of residual interference drops from 0.065 nT to 0.045 nT.

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Active Detection of Small UXO-Like Targets Through Measuring Electromagnetic Responses With a Magneto-Inductive Sensor Array

et al. 2021

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Comparison of Performance of Airborne Magnetic and Transient Electromagnetic Systems for Ordnance Detection and Mapping

Cited by 8 publications

References 16 publications

Electromagnetic induction in subsurface metal targets: Cluster analysis using local point-pattern spatial statistics

Electromagnetic induction in subsurface metal targets: Cluster analysis using local point-pattern spatial statistics

A Novel Strategy for Improving the Aeromagnetic Compensation Performance of Helicopters

Active Detection of Small UXO-Like Targets Through Measuring Electromagnetic Responses With a Magneto-Inductive Sensor Array

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