An Algorithm for Optimal Single Linear Feature Extraction from Several Gaussian Pattern Classes

dc.citation.bibtexNametechreporten_US
dc.citation.issueNumberTR7520en_US
dc.citation.journalTitleRice University ECE Technical Reporten_US
dc.contributor.authorStarks, S.A.en_US
dc.contributor.authorde Figueiredo, Rui J.P.en_US
dc.contributor.authorVan Rooy, D.L.en_US
dc.date.accessioned2007-10-31T01:06:31Z
dc.date.available2007-10-31T01:06:31Z
dc.date.issued1975-11-20
dc.date.modified2003-10-22en_US
dc.date.submitted2003-10-22en_US
dc.descriptionTech Reporten_US
dc.description.abstractA computational algorithm is presented for the extraction of an optimal single linear feature from several Gaussian pattern classes. The algorithm minimizes the increase in the probability of misclassification in the transformed (feature) space. The general approach used in this procedure was developed in a recent paper by R.J.P. de Figueiredo. Numerical results on the application of this procedure to the remotely sensed data from the Purdue C1 flight line as well as LANDSAT data are presented. It was found that classification using the optimal single linear feature yielded a value for the probability of misclassification on the order of 30% less than that obtained by using the best single untransformed feature. Also, the optimal single linear feature gave performance results comparable to those obtained by using the two features which maximized the average divergence.en_US
dc.description.sponsorshipAir Force Office of Scientific Researchen_US
dc.description.sponsorshipNASAen_US
dc.identifier.citationS. Starks, R. J. de Figueiredo and D. Van Rooy, "An Algorithm for Optimal Single Linear Feature Extraction from Several Gaussian Pattern Classes," <i>Rice University ECE Technical Report,</i> no. TR7520, 1975.
dc.identifier.urihttps://hdl.handle.net/1911/20383
dc.language.isoeng
dc.subjectlinear feature*
dc.subjectgaussian*
dc.subject.keywordlinear featureen_US
dc.subject.keywordgaussianen_US
dc.titleAn Algorithm for Optimal Single Linear Feature Extraction from Several Gaussian Pattern Classesen_US
dc.typeReport
dc.type.dcmiText
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