Unsupervised segmentation of synthetic aperture radar sea ice imagery using a novel Markov random field models
Abstract — The operational segmentation of SAR sea ice imagery is a practical, challenging objective in the realm of applied pattern recognition. This research is in support of operational activities at the Canadian Ice Services (CIS), a government agency that monitors all ice-infested regions under...
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ftciteseerx:oai:CiteSeerX.psu:10.1.1.126.1908 2023-05-15T18:16:42+02:00 Unsupervised segmentation of synthetic aperture radar sea ice imagery using a novel Markov random field models David A. Clausi Huawu Deng The Pennsylvania State University CiteSeerX Archives 2005 application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.126.1908 http://www.eng.uwaterloo.ca/~dclausi/Papers/Clausi and Deng - PRRS 2004 - MRF Segmentation of SAR Sea Ice Images.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.126.1908 http://www.eng.uwaterloo.ca/~dclausi/Papers/Clausi and Deng - PRRS 2004 - MRF Segmentation of SAR Sea Ice Images.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://www.eng.uwaterloo.ca/~dclausi/Papers/Clausi and Deng - PRRS 2004 - MRF Segmentation of SAR Sea Ice Images.pdf text 2005 ftciteseerx 2016-01-07T14:19:10Z Abstract — The operational segmentation of SAR sea ice imagery is a practical, challenging objective in the realm of applied pattern recognition. This research is in support of operational activities at the Canadian Ice Services (CIS), a government agency that monitors all ice-infested regions under Canadian jurisdiction. This paper uses a fusion of tone and texture to segment SAR sea ice images in an unsupervised manner. A novel Markov random field (MRF) segmentation technique is employed and produces improved results over K-means and the traditional MRF implementation. I. Text Sea ice Unknown |
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English |
description |
Abstract — The operational segmentation of SAR sea ice imagery is a practical, challenging objective in the realm of applied pattern recognition. This research is in support of operational activities at the Canadian Ice Services (CIS), a government agency that monitors all ice-infested regions under Canadian jurisdiction. This paper uses a fusion of tone and texture to segment SAR sea ice images in an unsupervised manner. A novel Markov random field (MRF) segmentation technique is employed and produces improved results over K-means and the traditional MRF implementation. I. |
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The Pennsylvania State University CiteSeerX Archives |
format |
Text |
author |
David A. Clausi Huawu Deng |
spellingShingle |
David A. Clausi Huawu Deng Unsupervised segmentation of synthetic aperture radar sea ice imagery using a novel Markov random field models |
author_facet |
David A. Clausi Huawu Deng |
author_sort |
David A. Clausi |
title |
Unsupervised segmentation of synthetic aperture radar sea ice imagery using a novel Markov random field models |
title_short |
Unsupervised segmentation of synthetic aperture radar sea ice imagery using a novel Markov random field models |
title_full |
Unsupervised segmentation of synthetic aperture radar sea ice imagery using a novel Markov random field models |
title_fullStr |
Unsupervised segmentation of synthetic aperture radar sea ice imagery using a novel Markov random field models |
title_full_unstemmed |
Unsupervised segmentation of synthetic aperture radar sea ice imagery using a novel Markov random field models |
title_sort |
unsupervised segmentation of synthetic aperture radar sea ice imagery using a novel markov random field models |
publishDate |
2005 |
url |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.126.1908 http://www.eng.uwaterloo.ca/~dclausi/Papers/Clausi and Deng - PRRS 2004 - MRF Segmentation of SAR Sea Ice Images.pdf |
genre |
Sea ice |
genre_facet |
Sea ice |
op_source |
http://www.eng.uwaterloo.ca/~dclausi/Papers/Clausi and Deng - PRRS 2004 - MRF Segmentation of SAR Sea Ice Images.pdf |
op_relation |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.126.1908 http://www.eng.uwaterloo.ca/~dclausi/Papers/Clausi and Deng - PRRS 2004 - MRF Segmentation of SAR Sea Ice Images.pdf |
op_rights |
Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
_version_ |
1766190502093258752 |