Non-Destructive Testing of Composite Fiber Materials With Hyperspectral Imaging—Evaluative Studies in the EU H2020 FibreEUse Project-Reference-Cited by-同舟云学术

Non-Destructive Testing of Composite Fiber Materials With Hyperspectral Imaging—Evaluative Studies in the EU H2020 FibreEUse Project

Published:2022 Issue: Volume:71 Page:1-13
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Yan Yijun¹^ORCID,Ren Jinchang¹^ORCID,Zhao Huan²^ORCID,Windmill James F. C.²^ORCID,Ijomah Winifred³^ORCID,de Wit Jesper⁴^ORCID,von Freeden Justus⁵^ORCID

Affiliation:

1. National Subsea Centre, Robert Gordon University, Aberdeen, U.K.

2. Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow, U.K.

3. Department of Design, Manufacturing and Engineering Management, University of Strathclyde, Glasgow, U.K.

4. INVENT GmbH, Braunschweig, Germany

5. Fraunhofer Institute for Machine Tools and Forming Technology IWU, Wolfsburg, Germany

Funder

European Union (EU) H2020

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/9717300/09726887.pdf?arnumber=9726887

Reference38 articles.

1. Specim IQ: Evaluation of a New, Miniaturized Handheld Hyperspectral Camera and Its Application for Plant Phenotyping and Disease Detection

2. Machine Learning for Automatic Processing of Modal Analysis in Damage Detection of Bridges

3. Unsupervised image saliency detection with Gestalt-laws guided optimization and visual attention based refinement

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