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Sea ice mapping method for SeaWinds

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Permanent URL	http://hdl.lib.byu.edu/1877/1102
Title	Sea ice mapping method for SeaWinds
BYU Creator	Long, David G. Anderson, Hyrum S.
Keywords	Bayes methods; geophysical signal processing; maximum likelihood estimation; oceanographic techniques; principal component analysis; remote sensing by radar; sea ice; water; synthetic aperture radar; terrain mapping
Description/Abstract	A sea ice mapping algorithm for SeaWinds is developed that incorporates statistical and spatial a priori information in a modified maximum a posteriori (MAP) framework. Spatial a priori data are incorporated in the loss terms of a Bayes risk formulation. Conditional distributions and priors for sea ice and ocean statistics are represented as empirical histograms that are forced to conform to a set of expected histograms via principal component filtering. Tuning parameters for the algorithm allow adjustments in the algorithm's performance. Results of the algorithm exhibit high correlation with the Remund-Long sea ice mapping algorithm for SeaWinds and the Special Sensor Microwave/Imager National Aeronautics and Space Administration Team 30% ice edge, and are verified with RADARSAT-1 ScanSAR imagery. The resulting sea ice maps exhibit high edge detail, preserve polynyas and ice bodies disjoint from the primary ice sheet, and thus are suitable for use with wind retrieval and sea ice studies. Principles employed in the algorithm may be of interest in other classification studies.
Source	Anderson, H. S., and D. G. Long. "Sea Ice Mapping Method for SeaWinds." Geoscience and Remote Sensing, IEEE Transactions on 43.3 (2005): 647-57;
Publisher	IEEE
Date Original	2005-03
Language	English eng en
Publication Type	Peer-Reviewed Articles
Type	Text
Format	application/pdf
Owning Institution	Brigham Young University
BYU College	Ira A. Fulton College of Engineering and Technology
BYU Department	Electrical and Computer Engineering
Copyright Status	(c) 2005 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.;
Copyright Use Information	http://www.lib.byu.edu/generic_copyright.html

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