Iceberg detection in open water and sea ice using C-band radar polarimetry
Source at https://doi.org/10.1109/IGARSS.2017.8127449 Icebergs can cause a significant danger for shipping, offshore oil exploration, and undersea or subsea pipelines and production facilities. Synthetic aperture radar (SAR) is very valuable tool of detecting and monitoring icebergs in the often dar...
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ftunivtroemsoe:oai:munin.uit.no:10037/14585 2023-05-15T17:05:15+02:00 Iceberg detection in open water and sea ice using C-band radar polarimetry Akbari, Vahid Brekke, Camilla 2017-12-04 https://hdl.handle.net/10037/14585 eng eng IEEE IEEE International Geoscience and Remote Sensing Symposium proceedings Norges forskningsråd: ArcticEO and CIRFA with project numbers 195143 and 237906 Akbari, V. & Brekke, C. (2017). Iceberg detection in open water and sea ice using C-band radar polarimetry. IEEE International Geoscience and Remote Sensing Symposium proceedings , 2298-2301. https://doi.org/10.1109/IGARSS.2017.8127449 FRIDAID 1496146 2153-6996 2153-7003 https://hdl.handle.net/10037/14585 openAccess VDP::Technology: 500::Marine technology: 580 VDP::Teknologi: 500::Marin teknologi: 580 Synthetic aperture radar Sea ice Image segmentation Clutter Remote sensing Detectors Feature extraction Journal article Tidsskriftartikkel Peer reviewed 2017 ftunivtroemsoe 2021-06-25T17:55:43Z Source at https://doi.org/10.1109/IGARSS.2017.8127449 Icebergs can cause a significant danger for shipping, offshore oil exploration, and undersea or subsea pipelines and production facilities. Synthetic aperture radar (SAR) is very valuable tool of detecting and monitoring icebergs in the often dark and cloud-covered polar regions. Detection of small icebergs floating in nonhomegeous sea clutter environments is a challenging task in remote sensing. In this paper, a new methodology is proposed for automatic identification of icebergs in high-resolution polarimetric SAR images acquired during different seasons. This involves adapting the algorithm to sea-ice conditions, and facing challenges when it comes to high iceberg density, meteorological and oceanographic phenomena in the marginal ice zone causing heterogeneity in the background clutter. The algorithm is tested with time series of RADARSAT-2 C-band quad-polarimetric images to detect icebergs in Kongsfjorden (Ny-Ålesund, Svalbard) that have broken off from the glaciers nearby. Article in Journal/Newspaper Kongsfjord* Kongsfjorden Ny Ålesund Ny-Ålesund Sea ice Svalbard University of Tromsø: Munin Open Research Archive Ny-Ålesund Svalbard 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2298 2301 |
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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 Synthetic aperture radar Sea ice Image segmentation Clutter Remote sensing Detectors Feature extraction |
spellingShingle |
VDP::Technology: 500::Marine technology: 580 VDP::Teknologi: 500::Marin teknologi: 580 Synthetic aperture radar Sea ice Image segmentation Clutter Remote sensing Detectors Feature extraction Akbari, Vahid Brekke, Camilla Iceberg detection in open water and sea ice using C-band radar polarimetry |
topic_facet |
VDP::Technology: 500::Marine technology: 580 VDP::Teknologi: 500::Marin teknologi: 580 Synthetic aperture radar Sea ice Image segmentation Clutter Remote sensing Detectors Feature extraction |
description |
Source at https://doi.org/10.1109/IGARSS.2017.8127449 Icebergs can cause a significant danger for shipping, offshore oil exploration, and undersea or subsea pipelines and production facilities. Synthetic aperture radar (SAR) is very valuable tool of detecting and monitoring icebergs in the often dark and cloud-covered polar regions. Detection of small icebergs floating in nonhomegeous sea clutter environments is a challenging task in remote sensing. In this paper, a new methodology is proposed for automatic identification of icebergs in high-resolution polarimetric SAR images acquired during different seasons. This involves adapting the algorithm to sea-ice conditions, and facing challenges when it comes to high iceberg density, meteorological and oceanographic phenomena in the marginal ice zone causing heterogeneity in the background clutter. The algorithm is tested with time series of RADARSAT-2 C-band quad-polarimetric images to detect icebergs in Kongsfjorden (Ny-Ålesund, Svalbard) that have broken off from the glaciers nearby. |
format |
Article in Journal/Newspaper |
author |
Akbari, Vahid Brekke, Camilla |
author_facet |
Akbari, Vahid Brekke, Camilla |
author_sort |
Akbari, Vahid |
title |
Iceberg detection in open water and sea ice using C-band radar polarimetry |
title_short |
Iceberg detection in open water and sea ice using C-band radar polarimetry |
title_full |
Iceberg detection in open water and sea ice using C-band radar polarimetry |
title_fullStr |
Iceberg detection in open water and sea ice using C-band radar polarimetry |
title_full_unstemmed |
Iceberg detection in open water and sea ice using C-band radar polarimetry |
title_sort |
iceberg detection in open water and sea ice using c-band radar polarimetry |
publisher |
IEEE |
publishDate |
2017 |
url |
https://hdl.handle.net/10037/14585 |
geographic |
Ny-Ålesund Svalbard |
geographic_facet |
Ny-Ålesund Svalbard |
genre |
Kongsfjord* Kongsfjorden Ny Ålesund Ny-Ålesund Sea ice Svalbard |
genre_facet |
Kongsfjord* Kongsfjorden Ny Ålesund Ny-Ålesund Sea ice Svalbard |
op_relation |
IEEE International Geoscience and Remote Sensing Symposium proceedings Norges forskningsråd: ArcticEO and CIRFA with project numbers 195143 and 237906 Akbari, V. & Brekke, C. (2017). Iceberg detection in open water and sea ice using C-band radar polarimetry. IEEE International Geoscience and Remote Sensing Symposium proceedings , 2298-2301. https://doi.org/10.1109/IGARSS.2017.8127449 FRIDAID 1496146 2153-6996 2153-7003 https://hdl.handle.net/10037/14585 |
op_rights |
openAccess |
container_title |
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) |
container_start_page |
2298 |
op_container_end_page |
2301 |
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1766059703310221312 |