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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Published in:2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Main Authors: Akbari, Vahid, Brekke, Camilla
Format: Article in Journal/Newspaper
Language:English
Published: IEEE 2017
Subjects:
Online Access:https://hdl.handle.net/10037/14585
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spelling 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
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
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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