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The discrimination of sea ice types using SAR backscatter statisticsX-band (HH) synthetic aperture radar (SAR) data of sea ice collected during the Marginal Ice Zone Experiment in March and April of 1987 was statistically analyzed with respect to discriminating open water, first-year ice, multiyear ice, and Odden. Odden are large expanses of nilas ice that rapidly form in the Greenland Sea and transform into pancake ice. A first-order statistical analysis indicated that mean versus variance can segment out open water and first-year ice, and skewness versus modified skewness can segment the Odden and multilayer categories. In additions to first-order statistics, a model has been generated for the distribution function of the SAR ice data. Segmentation of ice types was also attempted using textural measurements. In this case, the general co-occurency matrix was evaluated. The textural method did not generate better results than the first-order statistical approach.
Document ID
19910030932
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Shuchman, Robert A.
(Environmental Research Inst. of Michigan Ann Arbor, MI, United States)
Wackerman, Christopher C.
(Environmental Research Inst. of Michigan Ann Arbor, MI, United States)
Maffett, Andrew L.
(Environmental Research Inst. of Michigan Ann Arbor, MI, United States)
Onstott, Robert G.
(Environmental Research Inst. of Michigan Ann Arbor, MI, United States)
Sutherland, Laura L.
(Michigan Environmental Research Institute, Ann Arbor, United States)
Date Acquired
August 15, 2013
Publication Date
January 1, 1989
Subject Category
Oceanography
Accession Number
91A15555
Funding Number(s)
CONTRACT_GRANT: N00014-88-C-0680
CONTRACT_GRANT: N00014-81-C-0295
Distribution Limits
Public
Copyright
Other

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