Multi-frequency polarimetric SAR signatures of lead sea ice and oil spills

Synthetic aperture radar is used to identify and monitor oil spills. Separation from oil spill look-alikes is an important part of a fully automatic oil spill detection scheme. Here we investigate the polarimetric signatures for oil spills and newly formed sea ice (a well-known look-alike) in fully...

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Published in:2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Main Authors: Johansson, Malin, Brekke, Camilla, Spreen, Gunnar
Format: Article in Journal/Newspaper
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE) 2017
Subjects:
Online Access:https://hdl.handle.net/10037/21348
https://doi.org/10.1109/IGARSS.2017.8127342
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spelling ftunivtroemsoe:oai:munin.uit.no:10037/21348 2023-05-15T18:16:28+02:00 Multi-frequency polarimetric SAR signatures of lead sea ice and oil spills Johansson, Malin Brekke, Camilla Spreen, Gunnar 2017-12-04 https://hdl.handle.net/10037/21348 https://doi.org/10.1109/IGARSS.2017.8127342 eng eng Institute of Electrical and Electronics Engineers (IEEE) IEEE International Geoscience and Remote Sensing Symposium proceedings info:eu-repo/grantAgreement/RCN/NORRUSS/233896/Norway/Detection and Characterization of Anthropogenic Oil Pollution in the Barents Sea by Synthetic Aperture Radar// Johansson, M., Brekke, C., Spreen, G.(2017) Multi-frequency polarimetric SAR signatures of lead sea ice and oil spills. Proceedings 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), p. 1872-1875. DOI:10.1109/IGARSS.2017.8127342 FRIDAID 1486712 doi:10.1109/IGARSS.2017.8127342 2153-6996 2153-7003 https://hdl.handle.net/10037/21348 openAccess Copyright 2017 The Authors VDP::Technology: 500::Marine technology: 580 VDP::Teknologi: 500::Marin teknologi: 580 sea ice polarimetry oil pollution Journal article Tidsskriftartikkel Peer reviewed Conference object Konferansebidrag acceptedVersion 2017 ftunivtroemsoe https://doi.org/10.1109/IGARSS.2017.8127342 2021-06-25T17:55:25Z Synthetic aperture radar is used to identify and monitor oil spills. Separation from oil spill look-alikes is an important part of a fully automatic oil spill detection scheme. Here we investigate the polarimetric signatures for oil spills and newly formed sea ice (a well-known look-alike) in fully polarimetric Radarsat-2 satellite scenes. Using the fully polarimetric scenes we calculate four different parameters, co-polarization ratio, polarization difference, scattering entropy, and mean alpha angle. Three pairs of satellite scenes with comparable incidence angles are used. We observe that a combination of the co-polarization ratio and the polarization difference enables us to delineate the spills from their surrounding and also to discriminate the oil spills from the newly formed sea ice. The scattering entropy and the alpha values provide additional information about the scattering mechanisms of sea ice and oil spills. Article in Journal/Newspaper Sea ice University of Tromsø: Munin Open Research Archive 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 1872 1875
institution Open Polar
collection University of Tromsø: Munin Open Research Archive
op_collection_id ftunivtroemsoe
language English
topic VDP::Technology: 500::Marine technology: 580
VDP::Teknologi: 500::Marin teknologi: 580
sea ice
polarimetry
oil pollution
spellingShingle VDP::Technology: 500::Marine technology: 580
VDP::Teknologi: 500::Marin teknologi: 580
sea ice
polarimetry
oil pollution
Johansson, Malin
Brekke, Camilla
Spreen, Gunnar
Multi-frequency polarimetric SAR signatures of lead sea ice and oil spills
topic_facet VDP::Technology: 500::Marine technology: 580
VDP::Teknologi: 500::Marin teknologi: 580
sea ice
polarimetry
oil pollution
description Synthetic aperture radar is used to identify and monitor oil spills. Separation from oil spill look-alikes is an important part of a fully automatic oil spill detection scheme. Here we investigate the polarimetric signatures for oil spills and newly formed sea ice (a well-known look-alike) in fully polarimetric Radarsat-2 satellite scenes. Using the fully polarimetric scenes we calculate four different parameters, co-polarization ratio, polarization difference, scattering entropy, and mean alpha angle. Three pairs of satellite scenes with comparable incidence angles are used. We observe that a combination of the co-polarization ratio and the polarization difference enables us to delineate the spills from their surrounding and also to discriminate the oil spills from the newly formed sea ice. The scattering entropy and the alpha values provide additional information about the scattering mechanisms of sea ice and oil spills.
format Article in Journal/Newspaper
author Johansson, Malin
Brekke, Camilla
Spreen, Gunnar
author_facet Johansson, Malin
Brekke, Camilla
Spreen, Gunnar
author_sort Johansson, Malin
title Multi-frequency polarimetric SAR signatures of lead sea ice and oil spills
title_short Multi-frequency polarimetric SAR signatures of lead sea ice and oil spills
title_full Multi-frequency polarimetric SAR signatures of lead sea ice and oil spills
title_fullStr Multi-frequency polarimetric SAR signatures of lead sea ice and oil spills
title_full_unstemmed Multi-frequency polarimetric SAR signatures of lead sea ice and oil spills
title_sort multi-frequency polarimetric sar signatures of lead sea ice and oil spills
publisher Institute of Electrical and Electronics Engineers (IEEE)
publishDate 2017
url https://hdl.handle.net/10037/21348
https://doi.org/10.1109/IGARSS.2017.8127342
genre Sea ice
genre_facet Sea ice
op_relation IEEE International Geoscience and Remote Sensing Symposium proceedings
info:eu-repo/grantAgreement/RCN/NORRUSS/233896/Norway/Detection and Characterization of Anthropogenic Oil Pollution in the Barents Sea by Synthetic Aperture Radar//
Johansson, M., Brekke, C., Spreen, G.(2017) Multi-frequency polarimetric SAR signatures of lead sea ice and oil spills. Proceedings 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), p. 1872-1875. DOI:10.1109/IGARSS.2017.8127342
FRIDAID 1486712
doi:10.1109/IGARSS.2017.8127342
2153-6996
2153-7003
https://hdl.handle.net/10037/21348
op_rights openAccess
Copyright 2017 The Authors
op_doi https://doi.org/10.1109/IGARSS.2017.8127342
container_title 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
container_start_page 1872
op_container_end_page 1875
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