Electromagnetic induction spectroscopy for detecting and identifying buried objects

Dean A. Keiswetter; I. J. Won; Jonathan M. Miller; Thomas H. Bell; Ernesto R. Cespedes; Kevin O'Neill

doi:10.1117/12.396184

22 August 2000 Electromagnetic induction spectroscopy for detecting and identifying buried objects

Dean A. Keiswetter, I. J. Won, Jonathan M. Miller, Thomas H. Bell, Ernesto R. Cespedes, Kevin O'Neill

Proceedings Volume 4038, Detection and Remediation Technologies for Mines and Minelike Targets V; (2000) https://doi.org/10.1117/12.396184
Event: AeroSense 2000, 2000, Orlando, FL, United States

Abstract

An object, made partly or wholly of metals, has a distinct combination of electrical conductivity, magnetic permeability, and geometrical shape and size. When the object is exposed to a low-frequency electromagnetic field, it produces a secondary magnetic field. By measuring the broadband spectrum of the secondary field, we obtain a district spectral signature that may uniquely identify the object. Based on the response spectrum, we attempt to 'fingerprint' the object. This is the basic concept of EMIS. From numerous surveys that we have conducted using our multifrequency electromagnetic sensors (GEM-2 and GEM-3), we have accumulated significant evidence that a metallic object undergoes continuous changes in response as the transmitter frequency changes. These observations made over may UXO targets suggest strongly that the EMI anomaly measured in a broad band offers an ability to both detect and identify a target. The frequency-dependent structure of the difference was also reproducible and consisting over a range of depths. Therefore, we have established that the FEM-3 is capable of delivering broadband EMI data with ample target-specific information content for the purpose of target classification and identification.

Citation Download Citation

Dean A. Keiswetter, I. J. Won, Jonathan M. Miller, Thomas H. Bell, Ernesto R. Cespedes, and Kevin O'Neill "Electromagnetic induction spectroscopy for detecting and identifying buried objects", Proc. SPIE 4038, Detection and Remediation Technologies for Mines and Minelike Targets V, (22 August 2000); https://doi.org/10.1117/12.396184

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