A 2-D ferrous object imaging technique based on magnetic field sensor arrays

Dimitropoulos, PD; Avaritsiotis, JN

dc.contributor.author	Dimitropoulos, PD	en
dc.contributor.author	Avaritsiotis, JN	en
dc.date.accessioned	2014-03-01T02:42:10Z
dc.date.available	2014-03-01T02:42:10Z
dc.date.issued	2003	en
dc.identifier.issn	0924-4247	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/30838
dc.subject	Magnetic sensors	en
dc.subject	Magnetic signature	en
dc.subject	Magnetic-Anomaly-Detection (MAD)	en
dc.subject	Magnetometers	en
dc.subject.classification	Engineering, Electrical & Electronic	en
dc.subject.classification	Instruments & Instrumentation	en
dc.subject.other	Algorithms	en
dc.subject.other	Current density	en
dc.subject.other	Imaging techniques	en
dc.subject.other	Magnetization	en
dc.subject.other	Magnetometers	en
dc.subject.other	Magnetic signature	en
dc.subject.other	Sensor data fusion	en
dc.title	A 2-D ferrous object imaging technique based on magnetic field sensor arrays	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1016/S0924-4247(03)00197-3	en
heal.identifier.secondary	http://dx.doi.org/10.1016/S0924-4247(03)00197-3	en
heal.language	English	en
heal.publicationDate	2003	en
heal.abstract	A set of new signal-processing algorithms is being presented in this work that allow for the construction of images of the physical view of ferrous objects. This imaging technique, called MAD-Camera, is based on the discrete-time, spatial sampling of two components of the magnetic anomaly field-vector. The MAD-Camera prevails over other conventional Magnetic-Anomaly-Detection (MAD) techniques for the following two reasons. Firstly, it may provide with a good estimation of all three components of the anomaly field-vector near the penetrating ferrous objects. This is equivalent with capturing a more detailed magnetic signature; similar penetrating objects can be discriminated. Secondly, the technique provides directly with the physical view of the penetrating objects. As a result, no magnetic-signature databases and pattern-matching algorithms are required for a MAD application to function. (C) 2003 Elsevier B.V. All rights reserved.	en
heal.publisher	ELSEVIER SCIENCE SA	en
heal.journalName	Sensors and Actuators, A: Physical	en
dc.identifier.doi	10.1016/S0924-4247(03)00197-3	en
dc.identifier.isi	ISI:000184847600077	en
dc.identifier.volume	106	en
dc.identifier.issue	1-3	en
dc.identifier.spage	336	en
dc.identifier.epage	339	en