联合雷达干涉测量与像素偏移量算法提取同震三维形变场

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1、西南交通大学硕士研究生学位论文第1I页Abs仃actTheInterferometricSyntheticApertureRadar(InSAR)hastheadvantagesofwideobservationcoverageandhilghspatialresolution．TheInSARtechniquehaspotentialtodetectcoseismicdeformationandsurfaceruptureinducedbygiantearthquakes．However,TheInSARtechniqueCanonlyobtainonedimensio

2、nalgrounddeformationalonglineofsight(LOS)withoutotherobservables．Thesurfacedeformationinducedbygiantearthquakesisoftenthreedimensionaldisplacementsalongthenorth，eastandverticaldirection．It’SnecessarytocombineInSARtechnologyandothergeodeticobservationstoderivethethreedimensionalcoseismicde

3、formation．Onthebasisofazimuthpixeloffsetextractiontechnology,thisthesispresentstheimprovedimagecoregistrationoffsetscomputationmethod．Inordertosimplifytheprocessingprocedureandenhanceoperationefficiency,thepixelcoregistrationoffsetsarederivedfromthereferenceareawithoutremarkabledeformatio

4、n．Thecoregistrationpixelsareselectedwithevenspatialdistributionandrequirednurnberofcoregistrationcontrolpointsinthestudyarea．TheCOarSecoregistrationwithorbitalstatevectorsandfinecoregistrationwithinterferometriccoherenceareusedtoobtainthepixeloffsets．Thesystematicpixeloffsetvaluesaremodel

5、edandremovedfromtheinitialoffsets．ThecoseismicdeformationvectorsalongtheazimuthandrangedirectionsCanberespectivelyderivedfromthemethod．Afterextractingthepixeloffsetvaluesalongtheazimuthdirection，theD·InSARtechnologyisemployedtoextractthecoseismicdeformationalongradarlineofsightdirection．T

6、heInSARderiveddisplacementvectorsandpixeloffsetderiveddisplacementvectorsaregeometricallyanalyzedwithradarincidenceangleandazimuthangleofsatelliteflighttracks．ThederiveddeformationalongazimuthandrangedirectionsfrompixelcoregistrationoffsetalgorithmandLOSdeformationfromInSARtechniquecanbec

7、ombinedtoobtainthethreedimensionaldeformationinducedbygiantearthquakes．ThecombinationofascendinganddescendingorbitsSARacquisitionscanbefurtherusedtoderivethethreedimensionaldeformationfieldwiththeleastsquaressolution．TheALOS／PALSARacquisitionscoveringtheLongrnenShan