A novel mathematical morphology based algorithm for shoreline extraction from satellite images-中国期刊网

摘要 Shorelineextractionisfundamentalandinevitableforseveralstudies.Ascertainingtheprecisespatiallocationoftheshorelineiscrucial.Recently,theneedforusingremotesensingdatatoaccomplishthecomplextaskofautomaticextractionoffeatures,suchasshoreline,hasconsiderablyincreased.Automatedfeatureextractioncandrasticallyminimizethetimeandcostofdataacquisitionanddatabaseupdating.Effectiveandfastapproachesareessentialtomonitorcoastlineretreatandupdateshorelinemaps.Here,wepresentaflexiblemathematicalmorphology-drivenapproachforshorelineextractionalgorithmfromsatelliteimageries.Thesalientfeaturesofthisworkarethepreservationofactualsizeandshapeoftheshorelines,run-timestructuringelementdefinition,semi-automation,fasterprocessing,andsinglebandadaptability.Theproposedapproachistestedwithvarioussensor-drivenimageswithlowtohighresolutions.Accuracyofthedevelopedmethodologyhasbeenassessedwithmanuallypreparedgroundtruthsofthestudyareaandcomparedwithanexistingshorelineclassificationapproach.Theproposedapproachisfoundsuccessfulinshorelineextractionfromthewidevarietyofsatelliteimagesbasedontheresultsdrawnfromvisualandquantitativeassessments.

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A novel mathematical morphology based algorithm for shoreline extraction from satellite images

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A novel mathematical morphology based algorithm for shoreline extraction from satellite images

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