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
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;
Conference_Titel :
Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS '98. 1998 IEEE International
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-4403-0
DOI :
10.1109/IGARSS.1998.702955