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Identification of sea ice types in spaceborne synthetic aperture radar dataThis study presents an approach for identification of sea ice types in spaceborne SAR image data. The unsupervised classification approach involves cluster analysis for segmentation of the image data followed by cluster labeling based on previously defined look-up tables containing the expected backscatter signatures of different ice types measured by a land-based scatterometer. Extensive scatterometer observations and experience accumulated in field campaigns during the last 10 yr were used to construct these look-up tables. The classification approach, its expected performance, the dependence of this performance on radar system performance, and expected ice scattering characteristics are discussed. Results using both aircraft and simulated ERS-1 SAR data are presented and compared to limited field ice property measurements and coincident passive microwave imagery. The importance of an integrated postlaunch program for the validation and improvement of this approach is discussed.
Document ID
Document Type
Reprint (Version printed in journal)
Kwok, Ronald (Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Rignot, Eric (Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Holt, Benjamin (JPL Pasadena, CA, United States)
Onstott, R. (Michigan Environmental Research Institute, Ann Arbor, United States)
Date Acquired
August 15, 2013
Publication Date
February 15, 1992
Publication Information
Publication: Journal of Geophysical Research
Volume: 97
ISSN: 0148-0227
Subject Category
Distribution Limits