【基于卷积神经网络的遥感影像场景分类研究的文献综述4300字】

基于卷积神经网络的遥感影像场景分类研究的国内外文献综述目录TOC\o"1-2"\h\u28254基于卷积神经网络的遥感影像场景分类研究的国内外文献综述 [39]，在噪声标签下能够鲁棒地训练场景分类器。参考文献赵忠明,孟瑜,汪承义.遥感图像处理[M].北京:科学出版社,2016:1-5.ChengG,HanJ,LuX.RemoteSensingImageSceneClassification:BenchmarkandStateoftheArt[J].ProceedingsoftheIEEE,2017,105(10):1865-1883.朱凯强.基于深度胶囊网络的高光谱及高空间分辨率遥感图像分类[D].硕士学位论文.哈尔滨工业大学,2019:80.高琼.分类问题中的噪声标签研究[D].硕士学位论文.西安电子科技大学,2019:3-4.XiaG,HuJ,HuF,etal.AID:ABenchmarkDataSetforPerformanceEvaluationofAerialSceneClassification[J].IEEETransactionsonGeoscienceandRemoteSensing,2017,55(7):3965-3981.D.G.Low.DistinctiveImageFeaturesfromScale-InvariantKeypoints[J].InternationalJournalofComputerVision,2004.ZhaoB,ZhongY,ZhangL.ASpectral–structuralBag-of-featuresSceneClassifierforVeryHighSpatialResolutionRemoteSensingImagery[J].ISPRSJournalofPhotogrammetryandRemoteSensing,2016,116(2016):73-85.LazebnikS,SchmidC,PonceJ.BeyondBagsofFeatures:SpatialPyramidMatchingforRecognizingNaturalSceneCategories[C].IEEEComputerSocietyConferenceonComputerVisionandPatternRecognition,2006:2169-2178.ZhuQ,ZhongY,ZhaoB,etal.Bag-of-Visual-WordsSceneClassifierWithLocalandGlobalFeaturesforHighSpatialResolutionRemoteSensingImagery[J].IEEEGeoscienceandRemoteSensingLetters,2016,13(6):747-751.ChanT,JiaK,GaoS,etal.PCANet:ASimpleDeepLearningBaselineforImageClassification?[J].IEEETransactionsonImageProcessing,2015,24(12):5017-5032.CheriyadatAM.UnsupervisedFeatureLearningforAerialSceneClassification[J].IEEETransactionsonGeoscienceandRemoteSensing,2014,52(1):439-451.ZhengX,SunX,FuK,etal.AutomaticAnnotationofSatelliteImagesviaMultifeatureJointSparseCodingWithSpatialRelationConstraint[J].IEEEgeoscienceandremotesensingletters,2013,10(4):652-656.WangJ,YangJ.Locality-constrainedLinearCodingforImageClassification[C].IEEEComputerSocietyConferenceonComputerVisionandPatternRecognition,2010:3360-3367.CastelluccioM,PoggiG,SansoneC,etal.LandUseClassificationinRemoteSensingImagesbyConvolutionalNeuralNetworks[J].ActaEcologicaSinica,2015,28(2):627-635.NogueiraK,PenattiO,SantosJ.TowardsBetterExploitingConvolutionalNeuralNetworksforRemoteSensingSceneClassification[J].PatternRecognition,2016,61:539-556.ChengG,LiZ,YaoX,etal.RemoteSensingImageSceneClassificationUsingBagofConvolutionalFeatures[J].IEEEGeoscienceandRemoteSensingLetters,2017,14(10):1735-1739.LiE,XiaJ,DuP,etal.IntegratingMultilayerFeaturesofConvolutionalNeuralNetworksforRemoteSensingSceneClassification[J].IEEETransactionsonGeoscienceandRemoteSensing,2017,55(10):5653-5665.HeN,FangL,LiS,etal.RemoteSensingSceneClassificationUsingMultilayerStackedCovariancePooling[J].IEEETransactionsonGeoscienceandRemoteSensing,2018,56(12):6899-6910.邱锡鹏.神经网络与深度学习[M].北京:机械工业出版社,2020:1-220.RumelhartDE,HintonGE,WilliamsRJ.LearningRepresentationsbyBack-propagatingErrors[J].Cognitivemodeling,1988,5(3):533-536.HintonG,SalakhutdinovRR.ReducingtheDimensionalityofDatawithNeuralNetworks[J].Science,2006,313(5786):504-507.HintonG,OsinderoS,TehYW.AFastLearningAlgorithmforDeepBeliefNets[J].NeuralComputation,2006,18(7):1527-1554.LeCunY,DenkerJS,HendersonD,etal.HandwrittenDigitRecognitionwithaBack-propagationNetwork[C].AdvancesinNeuralInformationProcessingSystems,1989:396-404.KrizhevskyA,SutskeverI,HintonG.ImagenetClassificationwithDeepConvolutionalNeuralNetworks[C].AdvancesinNeuralInformation