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基于精细分割的SAR图像舰船目标几何结构特征提取.docx

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基于精细分割的SAR图像舰船目标几何结构特征提取 Title:GeometricStructureFeatureExtractionofSARShipTargetsBasedonFineSegmentation Abstract: SyntheticApertureRadar(SAR)imaginghasbeenwidelyusedforshiptargetdetectionandrecognitionduetoitsall-weatherandday-and-nightcapabilities.Extractinggeometricstructurefeaturesofshiptargetsplaysacrucialroleinshipclassification,tracking,andanomalydetection.ThispaperproposesamethodforextractinggeometricstructurefeaturesofSARshiptargetsbasedonfinesegmentation.Theproposedmethodprovidesaccurateandcomprehensiveinformationabouttheshape,size,orientation,andarrangementofshiptargets,whichcanaidinshipidentificationandunderstandingmaritimeactivities. 1.Introduction Withtheincreasingimportanceofmaritimesecurityandoffshoreactivities,shiptargetdetectionandrecognitionhavebecomecriticaltasksinthefieldofremotesensing.SARimaginghasprovedtobeapowerfultoolforshipdetection,especiallyinchallengingconditionssuchaslowvisibilityandadverseweather.However,SARimagesoftensufferfromspecklenoiseandclutter,makingaccurateshiptargetidentificationchallenging.Extractinggeometricstructurefeaturescanprovidevaluableinformationforshipclassificationandtracking. 2.RelatedWork Previousstudieshaveexploredvariousmethodsforshiptargetgeometricfeatureextraction.Thesemethodscanbebroadlycategorizedintothreeapproaches:templatematching,contouranalysis,andsegmentation-basedmethods.Templatematchingtechniquesrelyonpredefinedshipmodelsortemplatestodetectandrecognizeshiptargets.Contouranalysismethodsfocusonextractingshipboundariesandcontourinformation.Segmentation-basedmethodspartitionSARimagesintomeaningfulregionsandextractgeometricfeaturesfromtheseregions. 3.ProposedMethod TheproposedmethodforgeometricstructurefeatureextractionofSARshiptargetsisbasedonfinesegmentation.Thestepsinvolvedinthemethodareasfollows: a)ImagePreprocessing:TheSARimagesarepreprocessedtoremovenoiseandenhancefeaturecontrasts. b)RegionProposal:Theimageisdividedintoregions,andpotentialshiptargetsareidentifiedusingregionproposalalgorithms. c)Fin