Ron Caves
In anticipation of fully polarimetric SAR data from RADARSAT-2, we use a SIR-C data set to investigate the potential of fully polarimetric spaceborne data for sea ice classification. This paper discusses an entropy/anisotropy/α−angle (H/A/α) classification scheme followed by a minimum-distance class...
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ftciteseerx:oai:CiteSeerX.psu:10.1.1.406.9340 2023-05-15T17:06:10+02:00 Ron Caves Bernd Scheuchl I. Cumming G. Staples Macdonald Dettwiler The Pennsylvania State University CiteSeerX Archives application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.406.9340 http://sar.ece.ubc.ca/papers/CSRS_iceclass.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.406.9340 http://sar.ece.ubc.ca/papers/CSRS_iceclass.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://sar.ece.ubc.ca/papers/CSRS_iceclass.pdf text ftciteseerx 2016-01-08T03:05:50Z In anticipation of fully polarimetric SAR data from RADARSAT-2, we use a SIR-C data set to investigate the potential of fully polarimetric spaceborne data for sea ice classification. This paper discusses an entropy/anisotropy/α−angle (H/A/α) classification scheme followed by a minimum-distance classifier based on the complex Wishart distribution of the coherency matrix. Fully polarimetric data acquired by SIR-C over the Labrador Sea off Newfoundland's West Coast is analysed. Data from the two available frequency bands, L- and C-band, are classified separately and the results are compared. Both classifications provide sea ice – open water discrimination and sub-classification of various sea ice types. The main differences between the two results are the number of sea ice classes derived (four for C-band, three for L-band) and the fact that L-band data seems to provide a little better ice/water discrimination. High correlation between the two results with respect to the main feature types (sea ice, water and land) can be noted. Although ground truth is not available, the results are considered of good quality because of the agreement between the L- and C- band results, and consistency with expert human interpretation. Text Labrador Sea Sea ice Unknown |
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Open Polar |
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In anticipation of fully polarimetric SAR data from RADARSAT-2, we use a SIR-C data set to investigate the potential of fully polarimetric spaceborne data for sea ice classification. This paper discusses an entropy/anisotropy/α−angle (H/A/α) classification scheme followed by a minimum-distance classifier based on the complex Wishart distribution of the coherency matrix. Fully polarimetric data acquired by SIR-C over the Labrador Sea off Newfoundland's West Coast is analysed. Data from the two available frequency bands, L- and C-band, are classified separately and the results are compared. Both classifications provide sea ice – open water discrimination and sub-classification of various sea ice types. The main differences between the two results are the number of sea ice classes derived (four for C-band, three for L-band) and the fact that L-band data seems to provide a little better ice/water discrimination. High correlation between the two results with respect to the main feature types (sea ice, water and land) can be noted. Although ground truth is not available, the results are considered of good quality because of the agreement between the L- and C- band results, and consistency with expert human interpretation. |
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The Pennsylvania State University CiteSeerX Archives |
format |
Text |
author |
Bernd Scheuchl I. Cumming G. Staples Macdonald Dettwiler |
spellingShingle |
Bernd Scheuchl I. Cumming G. Staples Macdonald Dettwiler Ron Caves |
author_facet |
Bernd Scheuchl I. Cumming G. Staples Macdonald Dettwiler |
author_sort |
Bernd Scheuchl |
title |
Ron Caves |
title_short |
Ron Caves |
title_full |
Ron Caves |
title_fullStr |
Ron Caves |
title_full_unstemmed |
Ron Caves |
title_sort |
ron caves |
url |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.406.9340 http://sar.ece.ubc.ca/papers/CSRS_iceclass.pdf |
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Labrador Sea Sea ice |
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Labrador Sea Sea ice |
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http://sar.ece.ubc.ca/papers/CSRS_iceclass.pdf |
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http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.406.9340 http://sar.ece.ubc.ca/papers/CSRS_iceclass.pdf |
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Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
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