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Improving reliability for classification of metallic objects using a WTMD portal

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Improving reliability for classification of metallic objects using a WTMD portal. / Makkonen, J.; Marsh, L. A.; Vihonen, J.; Järvi, A.; Armitage, D. W.; Visa, A.; Peyton, A. J.

In: Measurement Science and Technology, Vol. 26, No. 10, 105103, 26.08.2015.

Research output: Contribution to journalArticleScientificpeer-review

Harvard

Makkonen, J, Marsh, LA, Vihonen, J, Järvi, A, Armitage, DW, Visa, A & Peyton, AJ 2015, 'Improving reliability for classification of metallic objects using a WTMD portal', Measurement Science and Technology, vol. 26, no. 10, 105103. https://doi.org/10.1088/0957-0233/26/10/105103

APA

Makkonen, J., Marsh, L. A., Vihonen, J., Järvi, A., Armitage, D. W., Visa, A., & Peyton, A. J. (2015). Improving reliability for classification of metallic objects using a WTMD portal. Measurement Science and Technology, 26(10), [105103]. https://doi.org/10.1088/0957-0233/26/10/105103

Vancouver

Makkonen J, Marsh LA, Vihonen J, Järvi A, Armitage DW, Visa A et al. Improving reliability for classification of metallic objects using a WTMD portal. Measurement Science and Technology. 2015 Aug 26;26(10). 105103. https://doi.org/10.1088/0957-0233/26/10/105103

Author

Makkonen, J. ; Marsh, L. A. ; Vihonen, J. ; Järvi, A. ; Armitage, D. W. ; Visa, A. ; Peyton, A. J. / Improving reliability for classification of metallic objects using a WTMD portal. In: Measurement Science and Technology. 2015 ; Vol. 26, No. 10.

Bibtex - Download

@article{ee792ff6389842419aac21e935c23b71,
title = "Improving reliability for classification of metallic objects using a WTMD portal",
abstract = "In this paper, a walk-through metal detection (WTMD) portal is used for classification of metallic objects. The classification is based on the inversion of the magnetic polarisability tensor (tensor) of the object. The nature of bias and noise components in the tensor are examined by using real walk-through data, and consequently, a novel classifier is introduced. Furthermore, a novel method for detecting poorly inverted tensors is presented, enabling self-diagnostics for the WTMD portal. Based on the results, the novel methods increase the accuracy of metal object classification and have the potential to improve the reliability of a WTMD system.",
keywords = "bias, classification, eigenvalues, electromagnetic polarisability, noise, tensor, WTMD",
author = "J. Makkonen and Marsh, {L. A.} and J. Vihonen and A. J{\"a}rvi and Armitage, {D. W.} and A. Visa and Peyton, {A. J.}",
year = "2015",
month = "8",
day = "26",
doi = "10.1088/0957-0233/26/10/105103",
language = "English",
volume = "26",
journal = "Measurement Science and Technology",
issn = "0957-0233",
publisher = "IOP Publishing",
number = "10",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Improving reliability for classification of metallic objects using a WTMD portal

AU - Makkonen, J.

AU - Marsh, L. A.

AU - Vihonen, J.

AU - Järvi, A.

AU - Armitage, D. W.

AU - Visa, A.

AU - Peyton, A. J.

PY - 2015/8/26

Y1 - 2015/8/26

N2 - In this paper, a walk-through metal detection (WTMD) portal is used for classification of metallic objects. The classification is based on the inversion of the magnetic polarisability tensor (tensor) of the object. The nature of bias and noise components in the tensor are examined by using real walk-through data, and consequently, a novel classifier is introduced. Furthermore, a novel method for detecting poorly inverted tensors is presented, enabling self-diagnostics for the WTMD portal. Based on the results, the novel methods increase the accuracy of metal object classification and have the potential to improve the reliability of a WTMD system.

AB - In this paper, a walk-through metal detection (WTMD) portal is used for classification of metallic objects. The classification is based on the inversion of the magnetic polarisability tensor (tensor) of the object. The nature of bias and noise components in the tensor are examined by using real walk-through data, and consequently, a novel classifier is introduced. Furthermore, a novel method for detecting poorly inverted tensors is presented, enabling self-diagnostics for the WTMD portal. Based on the results, the novel methods increase the accuracy of metal object classification and have the potential to improve the reliability of a WTMD system.

KW - bias

KW - classification

KW - eigenvalues

KW - electromagnetic polarisability

KW - noise

KW - tensor

KW - WTMD

U2 - 10.1088/0957-0233/26/10/105103

DO - 10.1088/0957-0233/26/10/105103

M3 - Article

VL - 26

JO - Measurement Science and Technology

JF - Measurement Science and Technology

SN - 0957-0233

IS - 10

M1 - 105103

ER -