2 August 1999 Localization and characterization of buried objects from multifrequency array inductive data
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Abstract
The problem of mine localization and characterization form electromagnetic induction data is addressed. We consider processing techniques based on an inductive sensor model originally proposed by Das et. al. Given this model we examine estimation-theoretic methods for determining an object's center, its orientation, and scattering characteristics from low frequency spectroscopic data obtained over a grid of spatial locations. Under this model, the data are linear functions of the multiple moment spectra and non-linearity related to object's location and rotation angles. An estimation procedure based on a low-dimensional non-linear optimization routine for the determination of the object center and rotation angles is employed with a linear lest squares inversion method used to estimate the multiple moment spectra. Examples are provided for ellipsoidal objects.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mustafa Oezdemir, Eric L. Miller, Stephen Norton, "Localization and characterization of buried objects from multifrequency array inductive data", Proc. SPIE 3710, Detection and Remediation Technologies for Mines and Minelike Targets IV, (2 August 1999); doi: 10.1117/12.357054; https://doi.org/10.1117/12.357054
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