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Detecting Tar Contaminated Samples in Road-rubble using Hyperspectral Imaging and Texture Analysis

Bäcker, Paul; Maier, Georg; Gruna, Robin; Längle, Thomas; Beyerer, Jürgen 1
1 Institut für Anthropomatik und Robotik (IAR), Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

Polycyclic aromatic hydrocarbons (PAH) containing tar-mixtures pose a challenge for recycling road rubble, as the tar containing elements have to be extracted and decontaminated for recycling. In this preliminary study, tar, bitumen and minerals are discriminated using a combination of color (RGB) and Hyperspectral Short Wave Infrared (SWIR) cameras. Further, the use of an autoencoder for detecting minerals embedded inside tar- and bitumen mixtures is proposed. Features are extracted from the spectra of the SWIR camera and the texture of the RGB images. For classification, linear discriminant analysis combined with a k-nearest neighbor classification is used. First results show a reliable detection of minerals and positive signs for separability of tar and bitumen. This work is a foundation for developing a sensor-based sorting system for physical separation of tar contaminated samples in road rubble.

Zugehörige Institution(en) am KIT Institut für Anthropomatik und Robotik (IAR)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2023
Sprache Englisch
Identifikator ISBN: 978-3-7315-1274-5
ISSN: 2510-7240
KITopen-ID: 1000158443
Erschienen in OCM 2023 - Optical Characterization of Materials : Conference Proceedings. Ed.: J. Beyerer; T. Längle; M. Heizmann
Veranstaltung 6th International Conference on Optical Characterization of Materials (OCM 2023), Karlsruhe, Deutschland, 22.03.2023 – 23.03.2023
Verlag KIT Scientific Publishing
Seiten 11 – 21
Serie Optical Characterization of Materials (OCM)
Externe Relationen Abstract/Volltext
Schlagwörter Hyperspectral Imaging, Autoencoder, Polycyclic, Aromatic Hydrocarbons
Nachgewiesen in Scopus
Relationen in KITopen

Verlagsausgabe §
DOI: 10.5445/IR/1000158443
Veröffentlicht am 26.05.2023
Scopus
Zitationen: 2
Seitenaufrufe: 120
seit 05.05.2023
Downloads: 67
seit 23.06.2023
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