Design and calibration of a two-camera (VNIR and SWIR) hyperspectral acquisition system for the characterization of metallic alloys from the recycling industry - 2015
Design and calibration of a two-camera (VNIR and SWIR) hyperspectral acquisition system for the characterization of metallic alloys from the recycling industry
Copyright (2015) Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for
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Hyperspectral; Image Processing; Recycling; Visible and near infrared; Short wave infrared; Smile effect; Machine learning; Calibration
Résumé :
[en] The conception of a prototype combining two hyperspectral cameras, one ranging from visible to near-infrared and the other covering short-wave infrared, is presented. The prototype aims at the characterization of millimeter-sized metallic alloys particles, originating from end-of-life vehicles and waste electrical and electronic equipment recycling. This paper is meant to serve as a support for a similar project by presenting difficulties encountered and available solutions. The calibration steps necessary to obtain quality reflectance data are also described. Classification results obtained on 100 metallic fragments dataset are finally presented.
Disciplines :
Ingénierie, informatique & technologie: Multidisciplinaire, généralités & autres
Auteur, co-auteur :
Barnabé, Pierre ; Université de Liège > Département ArGEnCo > Géoressources minérales & Imagerie géologique
Dislaire, Godefroid ; Université de Liège > Département ArGEnCo > Géoressources minérales & Imagerie géologique
Leroy, Sophie ; Université de Liège > Département ArGEnCo > Géoressources minérales & Imagerie géologique
Pirard, Eric ; Université de Liège > Département ArGEnCo > Géoressources minérales & Imagerie géologique
Langue du document :
Anglais
Titre :
Design and calibration of a two-camera (VNIR and SWIR) hyperspectral acquisition system for the characterization of metallic alloys from the recycling industry
Titre traduit :
[fr] Conception et calibration d'un système d'acquisition hyperspectrale bi-cameras (VNIR et SWIR) pour la caractérisation d'alliages métalliques de l'industrie du recyclage
Date de publication/diffusion :
18 novembre 2015
Titre du périodique :
Journal of Electronic Imaging
ISSN :
1017-9909
eISSN :
1560-229X
Maison d'édition :
International Society of Optical Engineering
Titre particulier du numéro :
Special Section On Quality Control By Artificial Vision: Nonconventional Imaging Systems
A. Picon et al., "Fuzzy spectral, spatial feature integration for classification of non-ferrous materials in hyper-spectral data," IEEE Trans. Ind. Inf. 5, 483-494 (2009).
N. Picone et al., "Hyperspectral imaging for the on-line characterization of fine mixtures in WEEE mechanical recycling systems," in Going Green Care Innovation, Vienna, (2014).
J. Burger, Hyperspectral NIR Image Analysis, Doctoral Thesis, Acta Universitatis Agriculturae Sueciae, Umea, Sweden (2006).
A. Baldridge et al., "The ASTER spectral library version 2.0," Remote Sens. Environ. 113, 711-715 (2009).
D. W. Sun, Hyperspectral Imaging for Food Quality Analysis, Control, Elsevier, Dublin (2010).
J. Burger, P. Geladi, "Hyperspectral NIR image regression part 1: calibration, correction," J. Chemom. 19, 355-363 (2005).
M. Aktaruzzaman, "Simulation, correction of spectral smile effect, its influence on hyperspectral mapping," Master Thesis, International Institute for Geo-Information Science, Earth Observation, the Netherlands (2008).
R. Richter, D. Schläpfer, A. Müller, "Operational atmospheric correction for imaging spectrometers accounting for the smile effect," IEEE Trans. Geosci. Remote Sens. 49, 1772-1780 (2011).
P. Paclik, http://www.perclass.com/, PR Sys Design [Online] (2014).
