WANG Jionghua, XU Tao, LI Xiang. Geometric Correction for Images of Intersection Taken by Hovering UAV[J]. Geomatics and Information Science of Wuhan University, 2015, 40(6): 738-743. DOI: 10.13203/j.whugis20130834
Citation: WANG Jionghua, XU Tao, LI Xiang. Geometric Correction for Images of Intersection Taken by Hovering UAV[J]. Geomatics and Information Science of Wuhan University, 2015, 40(6): 738-743. DOI: 10.13203/j.whugis20130834
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Geometric Correction for Images of Intersection Taken by Hovering UAV

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    • Abstract
  • Low altitudeunmannedaerialvehicle(UAV)imagesshaveincreasinglydemonstrateduniquead vantagesinthefieldsoftransportplanning,urbanmanagement,emergencymonitoring.TounderstandtheadvantagesofUAVimages,rapidandaccuratecorrectionandregistrationoftheimageareanecessaryprem ise.ThispapertakesaimageofintersectiontakenbyhoveringUAVasitsresearchtarget,anddiscussesthemethodofgeometriccorrectionandregistrationforsuchimages.Theimagecontainsalargenumberofsimilarfeaturesandmovingobjects,whichmakesitdifficulttobecorrectedintraditionalway,basedonspatialdo mainorfrequencydomain.Thus,thispaperproposesanimageregisteringmethodbasedonsemanticinforma tionextractedfromzebralines.Torealizeimagesregistrationbetweenarbitraryframes,thefollowingstepsarenecessary:patternsextraction,zebralinepatternspreparationandclassification,axisfittingandimageregistration.Finally,atestisperformedwithavideotakenbyUAV.Theresultsdemonstratethatthemeth odisrobustandeffective.
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