a pp licationofmulti-levelmrfusin gstructuralfeaturetoremotesensin gima g eclassification
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Abstract
inordertounitizetheima g einformationatdifferentlevel,thisp a p erintroducesanovela p-p roachtointe g ratethep ixelandre g ionfeatureintomrfmodel.astructurefeaturedescri p tor isp ro-p osedtore p resentthestructuralcharacteristicsofob j ectstodisambi g uatelandcovert yp eswithsimi-lars p ectralcharacteristics.thefirstste pofthep ro p osedal g orithmistoclassif ythein p ut ima g eb yu-sin gthemulti-levelmrf model ,thenthestructuralfeatureisusedtoclassif ythelandcovert yp esp ronetomisclassifiedbasedontheresultofthefirstste p.thep ro p osedal g orithmisevaluatedb ybe-in gcomp aredwiththeresultwithsin g lelevelmrf modelandotherexistin gclassificationmethod.qualitativeandq uantitativeex p erimentalresultsshowthatthep ro p osedal g orithmcaneffectivel yca p-turetheima g edatacharacteristicsatdifferentlevelwhichresultinhi g herclassificationaccurac y.
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