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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Main Authors: B. Scheuchl, R. Caves, I. Cumming, G. Staples
Other Authors: The Pennsylvania State University CiteSeerX Archives
Format: Text
Language:English
Subjects:
Newfoundland
Sea ice
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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spelling ftciteseerx:oai:CiteSeerX.psu:10.1.1.406.9959 2023-05-15T17:21:48+02:00 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
institution Open Polar
collection Unknown
op_collection_id ftciteseerx
language English
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.
author2 The Pennsylvania State University CiteSeerX Archives
format Text
author B. Scheuchl
R. Caves
I. Cumming
G. Staples
spellingShingle B. Scheuchl
R. Caves
I. Cumming
G. Staples
Automated sea ice classification using spaceborne polarimetric SAR data
author_facet B. Scheuchl
R. Caves
I. Cumming
G. Staples
author_sort B. Scheuchl
title Automated sea ice classification using spaceborne polarimetric SAR data
title_short 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_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
genre Newfoundland
Sea ice
genre_facet Newfoundland
Sea ice
op_source http://sar.ece.ubc.ca/papers/IGARSS01_ice_class.pdf
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.
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