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《基于統(tǒng)計(jì)特性和壓縮感知技術(shù)的sar圖像多目標(biāo)檢測(cè)算法分析》由會(huì)員上傳分享,免費(fèi)在線閱讀,更多相關(guān)內(nèi)容在學(xué)術(shù)論文-天天文庫(kù)。
1、基于統(tǒng)計(jì)特性和壓縮感知技術(shù)的SAR圖像多目標(biāo)檢測(cè)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(jì)特性和壓縮感知技術(shù)的SAR圖像多目標(biāo)檢測(cè)算法研究目錄第一章緒論........................................................................