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

Liu, Huan; Zhao, Changfeng; Zhu, Jixuan; Ge, Jianhua; Dong, Haobin; Liu, Zheng; Mrad, Nezih

doi:10.1109/jsen.2021.3107842

Cited by 13 publications

(1 citation statement)

References 30 publications

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“…In this model, the excitation current is turned on and off for about 10ms and 40us, respectively. The excitation field turn-on duration was determined empirically, while the turn-off time was derived from the [25], [26]. The target body is located directly below the circular transmitting coil with the parameters 1.12e7…”

Section: Three-dimensional Forward Modeling Verificationmentioning

confidence: 99%

The Transient Electromagnetic Response of UXO in Complex Three-Dimensional Terrain

Lu,

Gao,

et al. 2024

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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In practical exploration, the complex and diverse topographic effects are important for the processing and interpretation of EM exploration data. The interpretation of the electromagnetic data results in large errors when the influence of topographical factors is simply ignored. At present, the study of TEM is mainly based on the ideal situation of flat terrain, and the study of topographic effect is less. However, topographic relief is inevitable in practical exploration. In the paper, the correctness of the time-domain three-dimensional forward evolution based on the finite element method is verified by comparing the numerical results with those of the homogeneous full-space and half-space analytical solutions and the lumped high conductor model. In this paper, three-dimensional numerical simulations of time-domain transient electromagnetic methods are calculated based on the finite element method. Several exploration scenarios for complex terrain were constructed under the transmitting loop source, and the effect of terrain size and filling medium changes on the electromagnetic response was analyzed. The parameters of topographic effect, earth resistivity, surface resistivity and target conductivity are analyzed from z-component of magnetic field, apparent resistivity and time domain numerical solution, and the relative error distribution results in the whole observation period are shown. The results show that the influence of topographic effects on the electromagnetic response is concentrated in the early part of the time domain, with puddles of the same size having a higher influence on the electromagnetic response than raised soils and hollows. In practical exploration, puddles should be avoided where possible, while small sized topographic relief and hollows have a negligible effect on the electromagnetic response.

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Section: Three-dimensional Forward Modeling Verificationmentioning

confidence: 99%

The Transient Electromagnetic Response of UXO in Complex Three-Dimensional Terrain

Lu,

Gao,

et al. 2024

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Anomaly detection of complex magnetic measurements using structured Hankel low-rank modeling and singular value decomposition

Zhang

Liu

Wang

et al. 2022

Review of Scientific Instruments

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The magnetic anomalies generated by the ferromagnetic targets are usually buried within uncontrollable interference sources, such as the power frequency and random noises. In particular, the variability of the geomagnetic field and the low signal-to-noise ratio (SNR) of the magnetic anomalies cannot be avoided. In this paper, to improve the performance of magnetic anomaly detection (MAD) with a low SNR, we propose a novel structured low-rank (SLR) decomposition-based MAD method. In addition, a new framework based on the SLR and singular value decomposition (SVD) is constructed, dubbed SLR-SVD, and the corresponding working principle and implemented strategy are elaborated. Through comparing the SLR-SVD with two state-of-the-art methods, including principal component analysis and SVD, the results demonstrate that the proposed SLR-SVD can not only suppress the noise sufficiently, i.e., improving 55.26% approximately of the SNR, but also retain more boundary information of magnetic anomalies, i.e., decreasing approximately 68.05% of the mean squared error and improving approximately 28.47% of the structural similarity index.

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Intelligent, Automated, Rapid, and Safe Landmine, Improvised Explosive Device and Unexploded Ordnance Detection Using Maggy

Kuru,

Sujit,

Ansell

et al. 2024

IEEE Access

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

Cited by 13 publications

References 30 publications

The Transient Electromagnetic Response of UXO in Complex Three-Dimensional Terrain

The Transient Electromagnetic Response of UXO in Complex Three-Dimensional Terrain

Anomaly detection of complex magnetic measurements using structured Hankel low-rank modeling and singular value decomposition

Intelligent, Automated, Rapid, and Safe Landmine, Improvised Explosive Device and Unexploded Ordnance Detection Using Maggy

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