Automatic detection of sea ice drift from SAR data


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Stefanie.Linow [ at ] awi.de

Abstract

Sea ice drift can be automatically determined from a sequence of SAR satellite images. We use a pattern-based multi-resolution cascaded motion tracking algorithm to determine sea ice drift from SAR images. Without field data for validation, it is difficult to assess the accuracy of the derived drift product. The cross-correlation coefficient is often used as a measure for the reliability of the result. It can be shown that it is not a robust criterion for the quality of the drift vectors. We will present an improved quality measure which integrates image statistics and texture as well as a consistency check for the drift estimate and show examples from the Ronne Polynia (Antarctica).



Item Type
Conference (Talk)
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Not peer-reviewed
Publication Status
Published
Event Details
13th Meeting of the International Ice Charting Working Group (IICWG XIII), 15 Oct 2012 - 18 Oct 2012, Tromso, Norway.
Eprint ID
31341
Cite as
Linow, S. , Hollands, T. and Dierking, W. (2012): Automatic detection of sea ice drift from SAR data , 13th Meeting of the International Ice Charting Working Group (IICWG XIII), Tromso, Norway, 15 October 2012 - 18 October 2012 .


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