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| Titel |
Comparison of feature based segmentation of full polarimetric SAR satellite sea ice images with manually drawn ice charts |
| VerfasserIn |
M.-A. N. Moen, A. P. Doulgeris, S. N. Anfinsen, A. H. H. Renner, N. Hughes, S. Gerland, T. Eltoft |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1994-0416
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| Digitales Dokument |
URL |
| Erschienen |
In: The Cryosphere ; 7, no. 6 ; Nr. 7, no. 6 (2013-11-07), S.1693-1705 |
| Datensatznummer |
250085177
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| Publikation (Nr.) |
 copernicus.org/tc-7-1693-2013.pdf |
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| Zusammenfassung |
| 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. |
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