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1、ABSTRACTABSTRACTComparedwiththelowormiddleresolutionimage,thehighresolutionRemoteSensingimagehasricherstructureandtextureinformation.Theresultoftraditionalstatisticalclassificationtechnologybasedonpixels’spectrumcontaininglotsof"PepperandSalt"noiseshasav
2、erylowaccuracy.Andthephenomenaof"thesamethingwithdifferentspectrums"and"differentthingswiththesamespectrum"cannotbedistinguished.Thosearealltheinevitablelimitationsofthetraditionalstatisticalclassificationalgorithmbasedonpixels’spectrum.Theideaofobject-o
3、rientedisintroducedintotheinformationextractiontechnologyfromthehighresolutionimageinthisthesis.Thistechnologyproduceshomogeneousimageobjectsthroughsegmentationtechnology,andprovidesawaytoanalyzeobject’sfeatures.Atlastitcarriesouttheinformationextraction
4、byfuzzyclassification.Analgorithmofimagesegmentation,basedoncolorandspatialinformation,isproposedinthisthesis.Theinitialregionsarehierarchicallymergedbasedontheregiondistancedefinedbycolorandspatialinformation.Andacriterionisproposedtodecidetheterminatio
5、nofthemergingprocess.Finally,theaccuracyofthesegmentationresultisashighastheresultmadebyeCogniton,“theNo.1EnterpriseImageIntelligenceProcessingSoftware”.Whenextractingtheobject’sfeaturesinthisthesis,wenotonlyconsiderthespectraldifferencebetweentheregions
6、,andshapemeasures,texturemeasures,positionmeasuresaswell.Onceusingtheseaddedobject’smeasures,wecoulddistinguishdifferentcoversonthegroundwithsamespectral.TakingatypicalregionofTongzhouDistrict,BeijingCityasthetestarea,acasestudyonSPOT-5imageclassificatio
7、nwithobject-orientedapproachiscarriedoutattheendofthisthesis.Inordertoverifytheaccuracyofobject-orientedclassification,acomparisonbetweenthisapproachandclassicalclassificationapproacheshasbeencarriedout.Thecasestudyshowsthattheapplicationofobject-oriente
8、dapproachonhighresolutionsatelliteimageclassificationnotonlycanimprovetheoverallclassificationaccuracy,butalsohasmoresemanticinformation,reducesthe“PepperandSalt”noises,andovercomessuchphenomenonasdifferentthingswiththesam
