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Iceberg Detection in Low Visibility Conditions via Infra-Red Sensors: Processing and Modelling of Field Data

[+] Author Affiliations
Grégory Bouquet, Helene Schulerud

SINTEF Digital, Oslo, Norway

Francesco Scibilia

Statoil ASA, Trondheim, Norway

Paper No. OMAE2017-61018, pp. V008T07A023; 10 pages
doi:10.1115/OMAE2017-61018
From:
  • ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering
  • Volume 8: Polar and Arctic Sciences and Technology; Petroleum Technology
  • Trondheim, Norway, June 25–30, 2017
  • Conference Sponsors: Ocean, Offshore and Arctic Engineering Division
  • ISBN: 978-0-7918-5776-2
  • Copyright © 2017 by ASME

abstract

This article deals with Short Wave Infra-Red (SWIR) and Long Wave Infra-Red (LWIR) imaging sensors for detecting icebergs in harsh metocean conditions. Field data acquired during the Statoil Offshore Newfoundland Research Expedition 2015 (ONRE15) is analyzed. The analysis is supported by a numerical modelling study which aims at simulating the optical properties of ice and water combined with the radiation transfer in the Infra Red.

Copyright © 2017 by ASME
Topics: Sensors , Modeling , Icebergs

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