Aster数据的DEM生产及精度评价

AsterDEM惠凤鸣¹,田庆久¹,李应成º(¹,210093;º,100039):利用贵州省黎平县ASTER15m的立体影像像对进行DEM生产并对其精度进行评价研究结果表明:ASTER数据提取DEM是可行的;地面控制点(GCPs)的精度分布和数量是决定提取DEM数据精度的关键;控制点数目较多,分布均匀时可以大大提高DEM提取的精度:ASTER;DEM;高程;精度:P237:A:1000-3177(2004)73-0014-051(DigitalElevationModels,DEM),,DEM[1](NS-DI),DEM,DEMDEM,,DEM,SPOTDEM10m[2],IN-SARDEM,[3]DEMASTER(AdvancedSpaceborneThermalEmissionandRe-flectionRadiometer,)(NASA)(METI),199912NASAEOS-AM1(Terra),,()ASTER(VNIR),(SWIR),(TIR),15m30m90mVNIR(,0.78Lm~0.86Lm),(alongtrack),,,DEM,DEM(BasetoHeightRatio,BH)VNIR0.6,27.6b0.5~1.0,ASTERDEM5~50m,ASTER1B50000~1B250000[4~7]ASTERSPOT,,DEM2211DEM,N25b44c~26b31c,E108b37c~109b31c600~800m,1598m,,ASTER20024221A,:pg-PR1A0000-2002042201_047_010.hdf:1B50000DEM,25m;1B500002.2DEMPCIGeomatica8.2OrthoEngineDEM1GCPs59,GCPs31;GCPs28,11GCPs(:)RMSRMSRMSXYXYXYGCPs1.826.051.736.591.965.52:2003-09-01:2003-12-30:(1978~),,,14遥感信息2004.11PCIGeomaticaOrthoEngineDEMDEM:DEM()15.0m,DEM,-100,1600m300mDEM()3,DEM[8]Or-thoEngineDEM(15m)25m(ASTER_DEM),1B50000DEM(NGCC_DEM)ASTER_DEMASTER3D4ASTER_DEMNGCC_DEM,1350@1500ASTER_DEMNGCC_DEM,360mDEM,DEM,DEM1:50000,40(2),,1:50000DEM40,RMSERMSE,:RMSE=Eni=1yi-^yi2/n:yi^yi,n40RMSE=53.41m,127m,60m10RMSE62.98m,1,6%~10%240NGCC_DEMASTER_DEM0126.162888109.148823800709910226.132255109.243560437419180326.055453109.165255563529340426.184227109.34433443542690526.092054109.336136524545-210626.183266109.440149608578300726.113901109.412322389442-530826.050277109.414180913860530926.037547109.141553644618261026.037325109.14180663063001125.970494109.139362599546531225.981529109.190874828732961326.029678109.30928962361941425.920896109.348280428518-901525.916685109.258496651639121625.965955109.401580736743-71726.006570109.441991800822-221825.906216109.428589641709-681926.018932109.336169748713352025.867897109.391926745761-162125.872257109.28010377677512225.887896109.211016852780722325.956992109.23244010369231132425.936920109.328587385451-662525.975157109.16875055354582625.869661109.178363860833272725.931987109.292715399442-432826.063237109.342290525557-322926.063179109.242093580551293026.010277109.388992851795563125.910786109.18247244444223226.018515109.243758115810521063326.097854109.145599613561523426.145206109.195858587505823526.184364109.2602885694421273626.141744109.32017954654513726.045805109.298814640622183826.126032109.386907392441-493926.164510109.396882547554-74026.029475109.410713666679-13152004.1遥感信息2X3Y16遥感信息2004.14,DEM,XY67,8RMSE,3,2,3,4RMSE6%~10%,3RMSE(:m)12345678X37.7936.9792.1370.5787.5168.88--65.64Y112.7531.8840.0376.7449.3373.0266.94-64.38Arbitrary91.8035.2472.3644.9850.4758.6326.2455.2054.36RMSE40RMSERMSE,1,ASTER_DEM65m,8%~10%,ASTERDEM65mDEM,,4(1):ASTERDEM;(GCPs)DEM;,DEM,,(2),DEM172004.1遥感信息,:15m,,;ASTER0.78Lm~0.86Lm,SPOTIKONOSQuickBird,;,30,;,(3),,ASTERASTER65m1,.[M].:,20002.SPOTDEM[J].,1998(9):13~163,,.INSARDEM[J].,1999(2):12~154Y.Yamaguchi,H.Fujisada,M.Kudoh.ASTERInstrumentCharacterizationandOperationScenario[J].AdvancesinSpaceResearch.1999,23(8):1415~14245YasushiYamaguchi.,AnneB.Kahle,HirojiTsu,etal.OverviewofAdvancedSpaceborneThermalEmissionandReflectionRadiometer(ASTER)[J].IEEETransactionsonGeoscienceandRemoteSensing.1998,36(4):1062~10716JetPropulsionLaboratory.ASTERUserHandbookVersion2.Pasadena,CA7[J].,1999(3):7~10ProductionandAccuracyAssessmentofDEMfromASTERStereoImageDataHUIFeng-ming¹,TIANQing-jiu¹,LIYing-chengº(¹InternationalInstituteforEarthSystemSciences,NanjingUniversity210093ºChineseAcademyofSurveyingandMapping,Beijing100039)Abstract:ProductionandaccuracyassessmentofDEMusingASTERStereoimagedataoverLipingCountyinGuizhouProvinceareimplemented.ResultsindicatethatusingASTERstereoimagedatatoproduceDEMisfeasible;theaccuracydistributionandnum-bersofGCPsarecriticalforDEMaccuracyandmoreaccurateresultscanbeachievedinelevationifGCPsreachcertainnumbersanddistributedequably.KeyWords:ASTER;DEM;elevation;accuracy;(13)FuzzyFilteringofRemoteSensingImageBasedonNoiseCheckingZHANGKa,SHENGYe-hua(InstitueofSurveyingandSpatialInformationEngineering,ChinaUniversityofMiningandTechnology,Xuzhou221008,China)Abstract:Thispaperproposesamethodnamedfuzzyfilteringofremotesensingimagesbasedonnoisechecking.First,allpixelsofinputimageareseparatedintonoiseandsignalpixelsaccordingtothenoise-checkingcriterioninthismethod.Second,thenoisepix-elwillbeprocessedbasedonsometheoriesoffuzzymaths,andtheprocessingresultisgiventothecorrespondingpixelofoutputim-age;butthesignalpixelwillnotbeprocessed,anditsvaluewillbedirectlygiventothecorrespondingpixelofoutputimage.Further-more,duringtheimageprocessing,thevalueofnoisepixelininputimagewillbereplacedbyitsprocessingresult;whichcanimprovethefilteringeffectofimage.Experimentalresultsshowthatthemethodcaneffectivelyremove0saltandpepper0noises.KeyWords:remotesensingimage;noisechecking;membershipfunction;fuzzyfiltering18遥感信息2004.1