高精度POS在无人机航摄大比例尺测图中的应用_姜丙波

．POSJ．2017S130-32．DOI10．13474/j．cnki．11-2246．2017．0609．POS410014POSGNSS/IMUPOS。GNSS/IMUGNSS/IMU。POS、、、。RTK。P237A0494-09112017S1-0030-03ApplicationofHighPrecisionPOSinLargeScaleTopographicMappingofUAVAerialPhotogrammetryJIANGBingboZHAHailinSUJunmingPENGYunPENGXilinPENGFenglongPowerChinaZhongnanEngineeringCorporationLimitedChangsha410014ChinaAbstractAirbornePOSisakeyfactorinGNSS/IMUassistedaerialtriangulation．AccurateairbornePOSdataisofgreatpracticalsignificancetoimprovetheaccuracyofaerialtriangulationresults．WiththedevelopmentandimprovementoftheGNSS/IMUtechnologyoflow-altitudeUAValargenumberofexperimentsshowthattheaccuracyofUAVmappingcanonlymeettheneedofsmallandmedium-sizedtopographicmapwiththetraditionalGNSS/IMUtechnology．Howeverinthecaseoftraditionallow-precisionPOStechnologyduetothenumberofUAVimagesthebaselineisshorttheoverlapisirregularandthedistortionislargesoitstillneedsalotofgroundcontrolpointstoimprovetheaccuracyoftheaerialtriangulationThereforetheefficiencywillbeseverelyaffectedbythefieldofcontroltaskssuchascontrolpoints．Throughtheapplicationofhigh-precisionreal-timeRTKandUAVaerialsurveytechnologywithnogroundcontrolpointsaftertheprojecttestandstrictprecisionanalysisanderroranalysisproveditslarge-scalemappingapplicationswithoutnocontrolpointsCanstillmeetthemappingaccuracyrequirementsintherelevantnormstherebyenhancingtheUAVaerialprocessoperatingefficiency．KeywordsnocontrolpointsUAVaerialPhotogrammetryRTK1989—。[e-mail]、、1、2。GNSS/IMU。POSPOS3-5。1POSRTK。、、。1POS032017GPSGPSGPSGPSPOS6、6。1RTKPOS。。①②GPS、③GPS3-4。RTK。POS2。2POSPOS2201612RTK。POS、1∶500、、DEMPOS、1∶1000、、DEM。3MAVinciDesktop。POSPhotoscan、DSMDOMDSMDOMEPS。POS1∶5001∶1000。3POS4D2．11、2。132017POS110．1m10km22017-03-07490．00476mm328616220．05m7km22016-12-07250．00476mm1425302．22．2．1MAVinciDesktopPOSPhotoscan。16Photoscan16。2．2．2Phtotoscan。2．2．3POS。2．2．4DOMDSM、DEMDOM4、5。、、、、。4DOMDSM5DOMDSM31DSMDOM1。1m1∶500200．260．470．40．51∶1000350．140．210．60．2452320173．J．2016331199-103．4ZHANGZ．AFlexibleNewTechniqueforCameraCalibrationJ．IEEETransactionsonPatternAnalysis＆MachineIntelligence200022111330-1334．5．J．20166263-265．6．J．20132931-2．7．J．2014957-59．8RUGGLESMSCLARKMJFRANKEKWetal．ComparisonofSfMComputerVisionPointCloudsofaLandslideDerivedJ．RevueDesSystèmesDeVéhiculesTélécommandés2016．9．J．20151230-32．10．“”J．20143115-118．11KRKBBLIT’ANPPAULIKOVAetal．UseofLow-costUAVPhotogrammetrytoAnalysetheAccuracyofaDigitalElevationModelinaCaseStudyJ．Measurement201691276-287．12．J．20164112292-296．13JAUDMPASSOTSBIVICRLetal．AssessingtheAccuracyofHighResolutionDigitalSurfaceModelsComputedbyPhotoScanandMicMacinSub-OptimalSurveyConditionsJ．RemoteSensing201686465．14SRENSENLYJACOBSENLTHANSENJP．LowCostandFlexibleUAVDeploymentofSensorsJ．Sensors2017171．15．D．2009．櫂櫂櫂櫂櫂櫂櫂櫂櫂櫂櫂櫂櫂櫂櫂櫂櫂櫂櫂櫂櫂櫂櫂櫂櫂櫂櫂櫂櫂櫂櫂櫂櫂櫂櫂櫂櫂櫂櫂櫂櫂櫂櫂櫂櫂櫂32。2DEM。2。2m1∶500250．390．120．251∶1000490．50．010．18。4POS。POS1。2、。3RTKGNSS/IMU。RTK。1．J．2017536-43．2．D．2013．3．J．2012S0268-269．4．J．201210556-58．5．J．20165114-117．6．GPSJ．19971468-72．542017