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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Online Access: | https://hdl.handle.net/10037/21348 https://doi.org/10.1109/IGARSS.2017.8127342 |
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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 |
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Open Polar |
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University of Tromsø: Munin Open Research Archive |
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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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1766190086186074112 |