An Overview of Clutter Mitigation Methods for Tomographic Material Inspection

Millimeter wave-based material inspection methods are capable of providing 3-D-tomographic images of composite materials with a sufficient resolution to detect, localize, and classify critical defects. The nondestructive and noncontact-based measurement methods' potential can only be utilized w...

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Bibliographic Details
Published inIEEE transactions on microwave theory and techniques Vol. 69; no. 1; pp. 846 - 860
Main Authors Meier, Dominik, Gashi, Bersant, Zech, Christian, Baumann, Benjamin, Link, Torsten, Schlechtweg, Michael, Kuhn, Jutta, Rosch, Markus, Reindl, Leonhard M.
Format Journal Article
LanguageEnglish
Published New York IEEE 01.01.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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Summary:Millimeter wave-based material inspection methods are capable of providing 3-D-tomographic images of composite materials with a sufficient resolution to detect, localize, and classify critical defects. The nondestructive and noncontact-based measurement methods' potential can only be utilized with a complete understanding of the signals propagation behavior. Such that the relevant signal processing is tailored to the respective application. A core challenge of these systems remains clutter mitigation. Due to the composite materials' structure, a significant component of the received signal is corrupted by internal reflections, manifesting as clutter. For this purpose, a variety of different clutter mitigation methods, which include: normalization, moving average and moving median filter, entropy-based filtering, time gating, spatial filtering, and singular value decomposition, are investigated. These methods are applied to tomographic data of glass fiber reinforced plastic components, acquired via a <inline-formula> <tex-math notation="LaTeX">{W} </tex-math></inline-formula>-band imaging system.
ISSN:0018-9480
1557-9670
DOI:10.1109/TMTT.2020.3034364