chap07_conclusion

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1、Chapter7ConclusionsandrecommendationsThegeneralproblemstatementofthisstudywasformulatedinchapter1as:"Howcantheinterpretationandanalysisofrepeat-passspaceborneradarin-terferometricdatabeimprovedinasystematicwayviaamodel-basedquantifi-cationoftheerrorsources?”Herewepresentthemaincontrib

2、utionsofthisresearchandrecommendationsforfurtherstudiesandpracticalapplicationofradarinterferometryasageodetictechnique.keywords:Conclusions,Qualityassessment,Erroranalysisandpropagation,AtmosphericsignalThisstudydiscussedthetechniqueofrepeat-passspaceborneradarinterferometryfromageod

3、eticpointofview.Themainconclusionofthisresearchisthattheinterpretationandanalysisofradarinterferometricdatacanbeimprovedbyformu-latingtheproblemusingastandardGauss-Markoffmodelandbyincludingtheerrorsourcesasvariancesandcovariancesinthestochasticpartofthismodel.Especiallycovariancemode

4、lingisanimportantextensionofcurrentqualityassessmentstrate-gies.Second,thisstudypresentedanoveltechniqueformeteorology,referredtoasInterferometricRadarMeteorology(IRM),whichprovidesfine-resolutionmapsofwatervapordistribution.Theconclusionsinrelationtothefourspecificresearchquestionsli

5、stedinchapter1arediscussedbelow,followedbytherecommendationsforfurtherresearch.7.1Contributionsofthisresearch7.1.1ModelformulationSpecificresearchquestion1.“Howcanweparameterizetheformationandthequalityofaradarinterferogramanditsderivedinterferometricproducts?”Thegeneralproblemstateme

6、ntinchapter1wasmotivatedbytheneedforageodeticformulationoftheobservationequationsandofthevariance-covariancematrixoftheobservations.AGauss-Markoffmodel(seechapter3)canbeusedasaframeworktocombineboththefunctionalrelationsbetweenobservationsandparametersandthe248Chapter7:Conclusionsandr

7、ecommendationsstochasticcharacteristicsoftheobservations.Thisformulationallowsforadirectevaluationofthedegreeofredundancy,quantitativestatementsonprecisionandreliability,andstandardmethodologyfordataadjustmentandfiltering.Inthegenericfunctionalpartofthemodel,everyinterferometricphaseo

8、bserv