1998-SAR Imaging via Modern 2-D Spectral Estimation Methods

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1、IEEETRANSACTIONSONIMAGEPROCESSING,VOL.7,NO.5,MAY1998729SARImagingviaModern2-DSpectralEstimationMethodsStuartR.DeGraaf,Member,IEEEAbstractÐThispaperdiscussestheuseofmoderntwo-dimen-estimationalgorithms,discussestheirrelativemeritsforSARsional(2-D)spectrales

2、timationalgorithmsforsyntheticaper-imaging,andcomparesscalarimageryproducedbythesetureradar(SAR)imaging.ThemotivationforapplyingpoweralgorithmsforbothsyntheticpointscatteringdataanddataspectrumestimationmethodstoSARimagingistoimprovereso-collectedoftwocomm

3、ercialshipsnearToledo,Ohio.Thislution,removesidelobeartifacts,andreducespecklecomparedtowhatispossiblewithconventionalFouriertransformSARimag-sectionalsopresentsatheoreticalmodelfortheimpactofingtechniques.Thispapermakestwoprincipalcontributionsadaptivesid

4、elobereduction(ASR)filterorderandconstrainttothefieldofadaptiveSARimaging.First,itisacomprehen-ontarget-to-clutterratio(TCR)thatshedslightonstrate-sivecomparisonof2-DspectralestimationmethodsforSARgiesforselectingtheseparameters.SectionIIIgeneralizesimaging.

5、Itprovidesasynopsisofthealgorithmsavailable,discussestheirrelativemeritsforSARimaging,andillustratesfouralgorithmsÐminimumvariancemethod(MVM),reducedtheirperformanceonsimulatedandcollectedSARimagery.rankMVM(RRMVM),ASR,andspacevariantapodizationSomeofthealg

6、orithmspresentedortheirderivationsarenew,(SVA)Ðforapplicationtointerferometric(andpolarimetric)asaresomeoftheinsightsintooranalysesofthealgorithms.data,andusesdatacollectedoftheareaaroundtheUniversitySecond,thisworkdevelopsmultichannelvariantsoffourrelated

7、ofMichiganfootballstadiumtoillustratethatMVM,ASRalgorithms,minimumvariancemethod(MVM),reduced-rankMVM(RRMVM),adaptivesidelobereduction(ASR)andspaceandSVA(butnotRRMVM)offersignificantadvantagesovervariantapodization(SVA)toestimatebothreflectivityintensityFour

8、iermethodsforinterferometricSARimaging.Thissectionandinterferometricheightfrompolarimetricdisplaced-aperturealsoprovidesanempiricalcomparisonoftheaccuraciesofinterferometricdata.Alloftheseinterferometricvaria