Comparison of feature based segmentation of full polarimetric SAR satellite sea ice images with manually drawn ice charts
In this paper we investigate the performance of an algorithm for automatic segmentation of full polarimetric, synthetic aperture radar (SAR) sea ice scenes. The algorithm uses statistical and polarimetric properties of the backscattered radar signals to segment the SAR image into a specified number...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2013-11-01
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| Series: | The Cryosphere |
| Online Access: | http://www.the-cryosphere.net/7/1693/2013/tc-7-1693-2013.pdf |
| _version_ | 1811192466083151872 |
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| author | M. -A. N. Moen A. P. Doulgeris S. N. Anfinsen A. H. H. Renner N. Hughes S. Gerland T. Eltoft |
| author_facet | M. -A. N. Moen A. P. Doulgeris S. N. Anfinsen A. H. H. Renner N. Hughes S. Gerland T. Eltoft |
| author_sort | M. -A. N. Moen |
| collection | DOAJ |
| description | In this paper we investigate the performance of an algorithm for automatic
segmentation of full polarimetric, synthetic aperture radar (SAR) sea ice
scenes. The algorithm uses statistical and polarimetric properties of the
backscattered radar signals to segment the SAR image into a specified number
of classes. This number was determined in advance from visual inspection of
the SAR image and by available in situ measurements. The segmentation result
was then compared to ice charts drawn by ice service analysts. The comparison
revealed big discrepancies between the charts of the analysts, and between
the manual and the automatic segmentations. In the succeeding analysis, the
automatic segmentation chart was labeled into ice types by sea ice experts,
and the SAR features used in the segmentation were interpreted in terms of
physical sea ice properties. Utilizing polarimetric information in sea ice
charting will increase the efficiency and exactness of the maps. The number
of classes used in the segmentation has shown to be of significant
importance. Thus, studies of automatic and robust estimation of the number of
ice classes in SAR sea ice scenes will be highly relevant for future work. |
| first_indexed | 2024-04-11T23:53:03Z |
| format | Article |
| id | doaj.art-762996b01e324c608ef42aac5a26fb67 |
| institution | Directory Open Access Journal |
| issn | 1994-0416 1994-0424 |
| language | English |
| last_indexed | 2024-04-11T23:53:03Z |
| publishDate | 2013-11-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The Cryosphere |
| spelling | doaj.art-762996b01e324c608ef42aac5a26fb672022-12-22T03:56:26ZengCopernicus PublicationsThe Cryosphere1994-04161994-04242013-11-01761693170510.5194/tc-7-1693-2013Comparison of feature based segmentation of full polarimetric SAR satellite sea ice images with manually drawn ice chartsM. -A. N. Moen0A. P. Doulgeris1S. N. Anfinsen2A. H. H. Renner3N. Hughes4S. Gerland5T. Eltoft6Department of Physics and Technology, University of Tromsø, 9037 Tromsø, NorwayDepartment of Physics and Technology, University of Tromsø, 9037 Tromsø, NorwayDepartment of Physics and Technology, University of Tromsø, 9037 Tromsø, NorwayNorwegian Polar Institute, FRAM Centre, 9296 Tromsø, NorwayNorwegian Ice Service, Norwegian Meteorological Institute, 9293 Tromsø, NorwayNorwegian Polar Institute, FRAM Centre, 9296 Tromsø, NorwayDepartment of Physics and Technology, University of Tromsø, 9037 Tromsø, NorwayIn this paper we investigate the performance of an algorithm for automatic segmentation of full polarimetric, synthetic aperture radar (SAR) sea ice scenes. The algorithm uses statistical and polarimetric properties of the backscattered radar signals to segment the SAR image into a specified number of classes. This number was determined in advance from visual inspection of the SAR image and by available in situ measurements. The segmentation result was then compared to ice charts drawn by ice service analysts. The comparison revealed big discrepancies between the charts of the analysts, and between the manual and the automatic segmentations. In the succeeding analysis, the automatic segmentation chart was labeled into ice types by sea ice experts, and the SAR features used in the segmentation were interpreted in terms of physical sea ice properties. Utilizing polarimetric information in sea ice charting will increase the efficiency and exactness of the maps. The number of classes used in the segmentation has shown to be of significant importance. Thus, studies of automatic and robust estimation of the number of ice classes in SAR sea ice scenes will be highly relevant for future work.http://www.the-cryosphere.net/7/1693/2013/tc-7-1693-2013.pdf |
| spellingShingle | M. -A. N. Moen A. P. Doulgeris S. N. Anfinsen A. H. H. Renner N. Hughes S. Gerland T. Eltoft Comparison of feature based segmentation of full polarimetric SAR satellite sea ice images with manually drawn ice charts The Cryosphere |
| title | Comparison of feature based segmentation of full polarimetric SAR satellite sea ice images with manually drawn ice charts |
| title_full | Comparison of feature based segmentation of full polarimetric SAR satellite sea ice images with manually drawn ice charts |
| title_fullStr | Comparison of feature based segmentation of full polarimetric SAR satellite sea ice images with manually drawn ice charts |
| title_full_unstemmed | Comparison of feature based segmentation of full polarimetric SAR satellite sea ice images with manually drawn ice charts |
| title_short | Comparison of feature based segmentation of full polarimetric SAR satellite sea ice images with manually drawn ice charts |
| title_sort | comparison of feature based segmentation of full polarimetric sar satellite sea ice images with manually drawn ice charts |
| url | http://www.the-cryosphere.net/7/1693/2013/tc-7-1693-2013.pdf |
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