chengshi y ao, meitiancan, liuguo y in g. a pp licationofmulti-levelmrfusin gstructuralfeaturetoremotesensin gima g eclassification[J]. Geomatics and Information Science of Wuhan University, 2015, 40(9): 1180-1187. DOI: 10.13203/j .whu g is20130692
Citation: chengshi y ao, meitiancan, liuguo y in g. a pp licationofmulti-levelmrfusin gstructuralfeaturetoremotesensin gima g eclassification[J]. Geomatics and Information Science of Wuhan University, 2015, 40(9): 1180-1187. DOI: 10.13203/j .whu g is20130692

a pp licationofmulti-levelmrfusin gstructuralfeaturetoremotesensin gima g eclassification

  • 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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