Filament Preserving Model (FPM) Segmentation Applied to SAR Sea-Ice Imagery
Modeling spatial context constraints using a Markov random field (MRF) has been widely used in the segmentation of noisy images. Its applicability to synthetic aperture radar (SAR) sea-ice segmentation has also been demonstrated recently. However, most existing MRF models are not capable of preservi...
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ftciteseerx:oai:CiteSeerX.psu:10.1.1.134.5484 2023-05-15T18:16:39+02:00 Filament Preserving Model (FPM) Segmentation Applied to SAR Sea-Ice Imagery Qiyao Yu The Pennsylvania State University CiteSeerX Archives 2006 application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.134.5484 http://www.eng.uwaterloo.ca/~dclausi/Papers/Published 2006/Yu and Clausi - Filament Preserving - IEEE Geoscience 2006.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.134.5484 http://www.eng.uwaterloo.ca/~dclausi/Papers/Published 2006/Yu and Clausi - Filament Preserving - IEEE Geoscience 2006.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://www.eng.uwaterloo.ca/~dclausi/Papers/Published 2006/Yu and Clausi - Filament Preserving - IEEE Geoscience 2006.pdf Index Terms—Adaptive model egg code lead text 2006 ftciteseerx 2016-01-07T14:39:50Z Modeling spatial context constraints using a Markov random field (MRF) has been widely used in the segmentation of noisy images. Its applicability to synthetic aperture radar (SAR) sea-ice segmentation has also been demonstrated recently. However, most existing MRF models are not capable of preserving filaments, specifically leads and ridges for SAR sea ice, which are valuable for ship navigation applications and necessary for identifying certain ice types. In this paper, a new statistical context model is proposed that, within the same scene, can simultaneously preserve narrow elongated features while producing similar smooth segmentation results comparable to typical MRF-based approaches. Tested on one synthetic image and two SAR sea-ice scenes, this filament preserving model substantially improves classification accuracies when compared to standard Gaussian mixture and MRF-based segmentation algorithms. Text Sea ice Unknown |
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Index Terms—Adaptive model egg code lead Qiyao Yu Filament Preserving Model (FPM) Segmentation Applied to SAR Sea-Ice Imagery |
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Index Terms—Adaptive model egg code lead |
description |
Modeling spatial context constraints using a Markov random field (MRF) has been widely used in the segmentation of noisy images. Its applicability to synthetic aperture radar (SAR) sea-ice segmentation has also been demonstrated recently. However, most existing MRF models are not capable of preserving filaments, specifically leads and ridges for SAR sea ice, which are valuable for ship navigation applications and necessary for identifying certain ice types. In this paper, a new statistical context model is proposed that, within the same scene, can simultaneously preserve narrow elongated features while producing similar smooth segmentation results comparable to typical MRF-based approaches. Tested on one synthetic image and two SAR sea-ice scenes, this filament preserving model substantially improves classification accuracies when compared to standard Gaussian mixture and MRF-based segmentation algorithms. |
author2 |
The Pennsylvania State University CiteSeerX Archives |
format |
Text |
author |
Qiyao Yu |
author_facet |
Qiyao Yu |
author_sort |
Qiyao Yu |
title |
Filament Preserving Model (FPM) Segmentation Applied to SAR Sea-Ice Imagery |
title_short |
Filament Preserving Model (FPM) Segmentation Applied to SAR Sea-Ice Imagery |
title_full |
Filament Preserving Model (FPM) Segmentation Applied to SAR Sea-Ice Imagery |
title_fullStr |
Filament Preserving Model (FPM) Segmentation Applied to SAR Sea-Ice Imagery |
title_full_unstemmed |
Filament Preserving Model (FPM) Segmentation Applied to SAR Sea-Ice Imagery |
title_sort |
filament preserving model (fpm) segmentation applied to sar sea-ice imagery |
publishDate |
2006 |
url |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.134.5484 http://www.eng.uwaterloo.ca/~dclausi/Papers/Published 2006/Yu and Clausi - Filament Preserving - IEEE Geoscience 2006.pdf |
genre |
Sea ice |
genre_facet |
Sea ice |
op_source |
http://www.eng.uwaterloo.ca/~dclausi/Papers/Published 2006/Yu and Clausi - Filament Preserving - IEEE Geoscience 2006.pdf |
op_relation |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.134.5484 http://www.eng.uwaterloo.ca/~dclausi/Papers/Published 2006/Yu and Clausi - Filament Preserving - IEEE Geoscience 2006.pdf |
op_rights |
Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
_version_ |
1766190421184086016 |