Localization and characterization of buried objects from multifrequency array inductive data

Mustafa Oezdemir; Eric L. Miller; Stephen Norton

doi:10.1117/12.357054

2 August 1999 Localization and characterization of buried objects from multifrequency array inductive data

Mustafa Oezdemir, Eric L. Miller, Stephen Norton

Proceedings Volume 3710, Detection and Remediation Technologies for Mines and Minelike Targets IV; (1999) https://doi.org/10.1117/12.357054
Event: AeroSense '99, 1999, Orlando, FL, United States

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.

Citation Download Citation

Mustafa Oezdemir, Eric L. Miller, and 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); https://doi.org/10.1117/12.357054

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available