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ID:36544191
大小:3.48 MB
页数:9页
时间:2019-05-11
《短基线集形变模型反演的正则化解算方法_姜兆英》由会员上传分享,免费在线阅读,更多相关内容在行业资料-天天文库。
1、第45卷第5期测绘学报Vol.45,No.52016年5月ActaGeodaeticaetCartographicaSinicaMay,2016引文格式:姜兆英,刘国林,陶秋香.短基线集形变模型反演的正则化解算方法[J].测绘学报,2016,45(5):566-573.DOI:10.11947/j.AGCS.2016.20150143.JIANGZhaoying,LIUGuolin,TAOQiuxiang.RegularizationsolutionofSmallBaselineSubsetDeformationModelInver
2、sion[J].ActaGeodaeticaetCartographicaSinica,2016,45(5):566-573.DOI:10.11947/j.AGCS.2016.20150143.短基线集形变模型反演的正则化解算方法姜兆英1,2,刘国林1,陶秋香11.山东科技大学测绘科学与工程学院,山东青岛266590;2.青岛农业大学理学与信息科学学院,山东青岛266109RegularizationsolutionofSmallBaselineSubsetDeformationModelInversion1,2,LIUGuolin
3、1,TAOQiuxiang1JIANGZhaoying1.GeomaticsCollege,ShandongUniversityofScienceandTechnology,Qingdao266590,China;2.CollegeofScienceandInformation,QingdaoAgriculturalUniversity,Qingdao266109,ChinaAbstract:Forthecoefficientmatrixofthenormalequationisill-conditionedduringinvert
4、ingdeformationmodelofsmallbaselinesubset(SBAS)InSARtechnique,aregularizationrobustmethodisproposed.BasedonTikhonovregularizationtheory,thismethodconvertstheproblemofhowtosolvethedeformationrateintominimizationproblem.AccordingtoL-curvemethodtochooseregularizationparame
5、ter,consideringtherelationshipbetweentheindividualcomponentsofleast-squaresresidualstochooseregularizationmatrix,thusitachievesrobustsolutionofSBASdeformationmodelinversion.Weadoptrespectivelyleast-squaresestimation,ridgeestimationandTikhonovregularizationmethodtodealw
6、ith29ENVISATASARdatasetrelevanttotheBeijingarea,achievingthesubsidenceratemapofthestudyarea.Throughcomparativeanalysisamongthemeansquareerror(MSE)of21pointsonbehalfofthedifferentsubsidence,temporalcoherencevaluesandMSEmapsoftheentirestudyarea,weconfirmthatTikhonovregul
7、arizationrobustmethodininvertingSBASdeformationmodelcanobtainmorereliableresultsofdeformationmonitoring.Keywords:smallbaselinesubset;conditionnumber;Tikhonovregularization;ridgeestimation;meansquarederrorFoundationsupport:TheNationalNaturalScienceFoundationofChina(Nos.
8、41274007;41404003);ShandongProvinceNaturalScienceFoundationofChina(No.ZR2012DM001);SpecializedResearchFundfortheDocto
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