Pavement Crack Detection from Hyperspectral Images Using a Novel Asphalt Crack Index

Abdellatif, M orcid.org/0000-0002-7641-4723, Peel, H, Cohn, AG orcid.org/0000-0002-7652-8907 et al. (1 more author) (2020) Pavement Crack Detection from Hyperspectral Images Using a Novel Asphalt Crack Index. Remote Sensing, 12 (18). 3084. ISSN 2072-4292

Abstract

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Copyright, Publisher and Additional Information: © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This is an open access article under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) (https://creativecommons.org/licenses/by/4.0/)
Keywords: pavement crack detection; pavement defect inspection; asphalt crack index; hyper-spectral imaging; autonomous road inspection
Dates:
  • Accepted: 17 September 2020
  • Published (online): 20 September 2020
  • Published: 20 September 2020
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Civil Engineering (Leeds)
The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds)
Funding Information:
FunderGrant number
EPSRC (Engineering and Physical Sciences Research Council)EP/N010523/1
Depositing User: Symplectic Publications
Date Deposited: 25 Nov 2020 15:49
Last Modified: 25 Nov 2020 15:49
Status: Published
Publisher: MDPI
Identification Number: https://doi.org/10.3390/rs12183084
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