DocumentCode
326688
Title
Shape-based classification and discrimination of subsurface objects using electromagnetic induction
Author
Bell, Thomas H. ; Barrow, Bruce ; Khadr, Nagi
Author_Institution
AETC Inc., Arlington, VA, USA
Volume
1
fYear
1998
fDate
6-10 Jul 1998
Firstpage
509
Abstract
We consider discrimination between differently-shaped subsurface objects using electromagnetic induction sensors. For compact objects sufficiently far from the sensor, the response can be represented in terms of an induced dipole moment which is related to the primary field by a frequency-dependent magnetic polarizability tensor. This response tensor depends on the size, shape and material properties of the target. We present results of recent work on how the properties of the response depend on the target shape and on how conventional electromagnetic induction sensors can be used for subsurface discrimination
Keywords
clutter; demagnetisation; electromagnetic induction; geophysical signal processing; magnetic sensors; military systems; object detection; object recognition; pattern classification; sensor fusion; buried object detection; clutter; demagnetization factors; electromagnetic induction sensors; frequency-dependent magnetic polarizability tensor; induced dipole moment; mine detection; multisensor data; object discrimination; parameter estimation; primary field; shape-based classification; subsurface discrimination; subsurface objects; unexploded ordnance; Demagnetization; Eigenvalues and eigenfunctions; Electromagnetic induction; Electromagnetic wave polarization; Frequency; Magnetic moments; Magnetic sensors; Magnetostatics; Shape; Tensile stress;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS '98. 1998 IEEE International
Conference_Location
Seattle, WA
Print_ISBN
0-7803-4403-0
Type
conf
DOI
10.1109/IGARSS.1998.702955
Filename
702955
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