预览加载中，请您耐心等待几秒...

基于字典优化的联合稀疏表示高光谱图像分类.docx

预览
1/2
2/2

在线预览结束，喜欢就下载吧，查找使用更方便

下载提示 文本预览

如果您无法下载资料，请参考说明：

1、部分资料下载需要金币，请确保您的账户上有足够的金币

2、已购买过的文档，再次下载不重复扣费

3、资料包下载后请先用软件解压，在使用对应软件打开

基于字典优化的联合稀疏表示高光谱图像分类 Title:Dictionary-basedOptimizationforHyperspectralImageClassificationthroughJointSparseRepresentation Abstract: Hyperspectralimagingplaysasignificantroleinvariousfields,includingremotesensing,agriculture,andmedicine,duetoitsabilitytocapturedetailedinformationabouttheEarth'ssurface.Hyperspectralimageclassification,whichinvolvesassigningeachpixelinanimagetoapredefinedclasslabel,isacrucialtaskforextractingvaluableinformationfromhyperspectraldata.Inthispaper,weproposeanovelapproachforhyperspectralimageclassificationbasedondictionary-basedoptimizationthroughjointsparserepresentation.Ourmethodaimstocapturetheunderlyingstructureanddiscriminativefeaturespresentinthehyperspectraldata,leadingtoimprovedclassificationaccuracy. 1.Introduction 1.1BackgroundandMotivation 1.2HyperspectralImageClassification 1.3ChallengesandCurrentMethods 1.4ResearchObjectives 2.RelatedWork 2.1HyperspectralImageClassificationTechniques 2.2SparseRepresentationandDictionaryLearning 2.3JointSparseRepresentationbasedClassification 3.ProposedMethodology 3.1PreprocessingofHyperspectralData 3.2DictionaryLearningforDiscriminativeFeatureExtraction 3.3JointSparseRepresentationforClassification 3.4OptimizationSchemeforDictionary-basedClassification 4.ExperimentalStudy 4.1DatasetDescription 4.2EvaluationMetrics 4.3ComparativeAnalysiswithState-of-the-ArtMethods 4.4PerformanceEvaluationandDiscussion 5.ResultsandDiscussion 5.1ClassificationAccuracyComparison 5.2AnalysisofSpectral-SpatialDiscrimination 5.3RobustnessEvaluation 5.4ComputationalEfficiencyAnalysis 6.ConclusionandFutureWork 6.1SummaryofContributions 6.2LimitationsandFutureDirections 6.3Conclusion References Themainsectionsofthepaperwillfocusonintroducingthebackgroundandmotivationforthestudy,discussingrelatedworkinhyperspectralimageclassificationtechniques,presentingtheproposedmethodologywithdetailedexplanationsofeachstep,conductinganexperimentalstudytoevaluatetheperformanceoftheproposedmethod,anddiscussingtheresultsandtheirimplicati