Object-oriented Landcover Classification of Multi-source Remote Sensing Data in International Trans-boundary River
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Abstract
Landcoverclassificationisnoteasyforitsinnercomplexityresultingfromhugeterrainele vationinKosiRiverasinternationaltrans boundaryriver,ithaspossibletoclassificationdifficultiesflowingthroughthreecountries.Theemergencyofmulti sourceremotesensingimagesandtrainingalgorithmmakeitpossibletoclassifythelandcoverforitsampledetailsbasedonobject orientedmethod.Thepaperisaboutlandcoverclassificationmethodselectingfeatureandoptimalscaleofseg mentation,theinnovationofthismethodliesinselectionofproperscaleparameterresultingfromproperimagedataandcertainclassificationorder.Thetotalaccuracyhashighly90.05%comparedwithobjectorientedclassificationresultandactualsamplingpoint,whichisafeasiblemethod,andtheclassificationresultsaremoreaccurate.
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