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1、基于統(tǒng)計特性和壓縮感知技術(shù)的SAR圖像多目標(biāo)檢測算法研究II南京航空航天大學(xué)碩士學(xué)位論文AbstractSyntheticApertureRadar(SAR)hasnowbeenwidelyusedinmilitarytargetdetectionandactivecivilianradarsensingareas.StudyontargetdetectiontechniqueandbreakthroughinSARpicturesemi-automaticandautomatictranslat
2、iontechniquehasbeenanurgentneedforthedevelopmentofstrategicreconnaissance,monitoring,earlywarningandprecisionbeatingweapon..Inrecentyears,SARhasbeenputintoapplicationsinmanyareasandSARcanbeusedintargetofinterestdetectionamongclutterbackground.Inthisdi
3、ssertation,themovingandstationarytargetacquisitionandrecognition,MSTARdatabaseandSandiadatabasehasbeenthorouglystudied.First,thedevelopmentofstatisticcharacteristicofSARimageandtargetdetectionbothathomeandabroadhasbeenanalyzedandcomprehended.Theproble
4、marisesthathowtodetecttargetsamongcomplexbackgroundinbigimages.Then,twodatabaseshavebeenusedinSARimagestatisticcharacteristicacquisition.OnthebasesofK-SandKLindexwecanfindhowtoaffectivelyacquirethestatisticalmodelindifferentbackground.Differentbackgro
5、undshavebeengivenfordifferentdistributions,includingGamma,Rician,K,LogNormal,G0andWeibulldistributions.Alsothelimitationsareputforward.Furthermore,CFARdetectionhasbeeninvestigatedonthebasisofstatistictheory.Theaffectofmresolutionandmodelmismatchondete
6、ctionperformancehasbeenmainlydiscussedandthethresholdvaluesarededucedforvariousstatisticmodels.Theperformanceandcharatersiticsofseveralbasicdetectorsareanalyzed.Atlast,inordertoacquirecompleteandreliabletargetinformationforlargeimageincomplexterrianan
7、davoidmissrate,weputforwardacompressperceptionbasedtargetdetectionalgorithm.Comparedwithcanonwaveletalgorithm,betterindexareabtained.ByputtingitintoapplicationofSAR-CFARfortargetdetection,wecaneffectivelyavoidmissdetectionandthetargetcompletenessacqui
8、re5%furtherly.Keywords:SARimagesignalprocessing,statisticcharacteristic,distributionmodel,CFARmultitargetdetection,compressedsensing.III基于統(tǒng)計特性和壓縮感知技術(shù)的SAR圖像多目標(biāo)檢測算法研究目錄第一章緒論........................................................................
