Automated sea ice classification using spaceborne polarimetric SAR data
Abstract – This paper discusses the capability of spaceborne polarimetric C-band SAR data for sea ice detection and classification. Unsupervised classification using polarimetric decomposition and the complex Wishart classifier was performed on SIR-C data acquired off the coast of Newfoundland in Ap...
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Format: | Text |
Language: | English |
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Online Access: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.406.9959 http://sar.ece.ubc.ca/papers/IGARSS01_ice_class.pdf |
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author | B. Scheuchl R. Caves I. Cumming G. Staples |
author2 | The Pennsylvania State University CiteSeerX Archives |
author_facet | B. Scheuchl R. Caves I. Cumming G. Staples |
author_sort | B. Scheuchl |
collection | Unknown |
description | Abstract – This paper discusses the capability of spaceborne polarimetric C-band SAR data for sea ice detection and classification. Unsupervised classification using polarimetric decomposition and the complex Wishart classifier was performed on SIR-C data acquired off the coast of Newfoundland in April 1994. The algorithm is used for sea ice applications for the first time, and appears promising. In addition to polarimetric classification, three of the measured features were found to have ice edge detection capability: HV-intensity, HH/VV-ratio and anisotropy. These features show a clear separation between sea ice and open water and simple thresholds can be applied. I. |
format | Text |
genre | Newfoundland Sea ice |
genre_facet | Newfoundland Sea ice |
id | ftciteseerx:oai:CiteSeerX.psu:10.1.1.406.9959 |
institution | Open Polar |
language | English |
op_collection_id | ftciteseerx |
op_relation | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.406.9959 http://sar.ece.ubc.ca/papers/IGARSS01_ice_class.pdf |
op_rights | Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
op_source | http://sar.ece.ubc.ca/papers/IGARSS01_ice_class.pdf |
record_format | openpolar |
spelling | ftciteseerx:oai:CiteSeerX.psu:10.1.1.406.9959 2025-01-16T23:23:43+00:00 Automated sea ice classification using spaceborne polarimetric SAR data B. Scheuchl R. Caves I. Cumming G. Staples The Pennsylvania State University CiteSeerX Archives application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.406.9959 http://sar.ece.ubc.ca/papers/IGARSS01_ice_class.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.406.9959 http://sar.ece.ubc.ca/papers/IGARSS01_ice_class.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://sar.ece.ubc.ca/papers/IGARSS01_ice_class.pdf text ftciteseerx 2016-01-08T03:05:57Z Abstract – This paper discusses the capability of spaceborne polarimetric C-band SAR data for sea ice detection and classification. Unsupervised classification using polarimetric decomposition and the complex Wishart classifier was performed on SIR-C data acquired off the coast of Newfoundland in April 1994. The algorithm is used for sea ice applications for the first time, and appears promising. In addition to polarimetric classification, three of the measured features were found to have ice edge detection capability: HV-intensity, HH/VV-ratio and anisotropy. These features show a clear separation between sea ice and open water and simple thresholds can be applied. I. Text Newfoundland Sea ice Unknown |
spellingShingle | B. Scheuchl R. Caves I. Cumming G. Staples Automated sea ice classification using spaceborne polarimetric SAR data |
title | Automated sea ice classification using spaceborne polarimetric SAR data |
title_full | Automated sea ice classification using spaceborne polarimetric SAR data |
title_fullStr | Automated sea ice classification using spaceborne polarimetric SAR data |
title_full_unstemmed | Automated sea ice classification using spaceborne polarimetric SAR data |
title_short | Automated sea ice classification using spaceborne polarimetric SAR data |
title_sort | automated sea ice classification using spaceborne polarimetric sar data |
url | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.406.9959 http://sar.ece.ubc.ca/papers/IGARSS01_ice_class.pdf |