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dc.contributor.advisorNystuen, Jeffrey A.
dc.contributor.advisorBourke, Robert H.
dc.contributor.authorGarcia, Frank W., Jr.
dc.dateJune 1990
dc.date.accessioned2013-02-15T23:11:39Z
dc.date.available2013-02-15T23:11:39Z
dc.date.issued1990-06
dc.identifier.urihttp://hdl.handle.net/10945/27745
dc.description.abstractThis study employs Synthetic Aperture Radar (SAR) imagery from the Marginal Ice Zone Experiment (MIZEX) 1987 to identify an optimal set of statistical descriptors that accurately classify three types of ice (first-year, multiyear, odden) and open water. Two groups of statistics, univariate and texture, are compared and contrasted with respect to their skill in classifying the ice types and open water. Individual statistical descriptors are subjected to principal component analysis and discriminant analysis. Principal component analysis was of little use in understanding features of each ice and open water group. Discriminant analysis was valuable in identifying which statistics held the most power. When combined, univariate and texture statistics classified the groups with 89.5% accuracy, univariate alone with 86.8% accuracy and texture alone with 75.4% accuracy. Range and inertia were the strongest univariate and texture discriminators with 74.6% and 50.8% accuracy, respectively. Despite the use of a non-calibrated SAR, univariate statistics were able to classify the images with greater accuracy than texture statistics.en_US
dc.description.urihttp://archive.org/details/seiceclassificat1094527745
dc.format.extentxii, 102 p. ill.en_US
dc.languageen_US
dc.publisherMonterey, California: Naval Postgraduate Schoolen_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.en_US
dc.subject.lcshSea iceen_US
dc.subject.lcshSynthetic aperture radar.en_US
dc.titleSea ice classification using synthetic aperture radaren_US
dc.typeThesisen_US
dc.contributor.corporateNaval Postgraduate School (U.S.)
dc.contributor.departmentOceanography
dc.subject.authorSynthetic Aperture Radaren_US
dc.subject.authorSea Ice Classificationen_US
dc.subject.authorMarginal Ice Zoneen_US
dc.subject.authorGray Level Co-Occurrence Matricesen_US
dc.subject.authorTexture Statisticsen_US
dc.subject.authorUnivariate Statisticsen_US
dc.subject.authorMIZEX '87 SAR Dataen_US
dc.description.serviceLieutenant Commander, United States Navyen_US
etd.thesisdegree.nameM.S. in Meteorology and Physical Oceanographyen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineMeteorology and Physical Oceanographyen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US
dc.description.distributionstatementApproved for public release; distribution is unlimited.


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