Special Section on Advances in Infrared Remote Sensing and Instrumentation

Infrared thermography system for transport infrastructures survey with inline local atmospheric parameter measurements and offline model for radiation attenuation evaluations

[+] Author Affiliations
Jean Dumoulin

L’Université Nantes Angers Le Mans Université, IFSTTAR, COSYS, F-44340, Bouguenais, France

Institut National de Recherche en Informatique et en Automatique / Institut de Recherche en Informatique et Systèmes Aléatoires, I4S Team, Campus de Beaulieu, Rennes cedex 35042, France

Vincent Boucher

Centre d’études et d’expertise sur les risques, l’environnement, la mobilité et l’aménagement, Angers-Associated Research Team, 23 Avenue de l’Amiral Chauvin, 49 136 Les Ponts de Cé Cedex, France

J. Appl. Remote Sens. 8(1), 084978 (Jul 14, 2014). doi:10.1117/1.JRS.8.084978
History: Received January 15, 2014; Revised June 5, 2014; Accepted June 9, 2014
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Abstract.  An infrared system has been developed to monitor transport infrastructures in a standalone configuration. It is based on low cost infrared thermal cameras linked with a calculation unit in order to produce a corrected thermal map of the surveyed structure at a selected time step. With the inline version, the data collected feed simplified radiative models running a GPU. With the offline version, the thermal map can be corrected when data are collected under different atmospheric conditions up to foggy night conditions. A model for radiative transmission prediction is proposed and limitations are addressed. Furthermore, the results obtained by image and signal processing methods with data acquired on the transport infrastructure opened to traffic are presented. Finally, conclusions and perspectives for new implementation and new functionalities are presented and discussed.

© 2014 Society of Photo-Optical Instrumentation Engineers

Citation

Jean Dumoulin and Vincent Boucher
"Infrared thermography system for transport infrastructures survey with inline local atmospheric parameter measurements and offline model for radiation attenuation evaluations", J. Appl. Remote Sens. 8(1), 084978 (Jul 14, 2014). ; http://dx.doi.org/10.1117/1.JRS.8.084978


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