Hyperspectral datum classification using kernel method based on mutual information of neighbor bands

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    摘要 Undertheframeworkofsupportvectormachines,thispaperproposesanewkernelmethodbasedonneighborbandsmutualinformationforhyperspectraldatumclassification.Thisalgorithmassignsweightstodifferentbandsinthekernelfunctionaccordingtotheamountofusefulinformationthattheycontain,whichmakesthebandwithmoreusefulinforma-tionplaymoreimportantroleintheclassification.Ourresearchhasshownthatthebandwithgreatermutualinformationbetweenneighborbandscontainsmoreusefulinformation,andhenceweusethemutualinformationofeachbandanditsneighborbandsastheweightsoftheproposedkernelmethod.Theexperimentalresultsshowthatforthesupportvectormachinesbasedonpolynomialandradialbasisfunction,afterintroducingtheproposedkernelfunction,theaverageaccuracyisincreasedmorethan1.2%withoutusinganyreferencemaporincreasingmuchmorecomputationaltime.
    机构地区 不详
    出版日期 2009年04月14日(中国Betway体育网页登陆平台首次上网日期,不代表论文的发表时间)
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