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多时相遥感影像分带镶嵌纠正方法.docx

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多时相遥感影像分带镶嵌纠正方法 Title:Multi-TemporalRemoteSensingImageStripCorrectionMethod Abstract: Remotesensingtechnologies,suchassatelliteimagery,provideavaluabletoolformonitoringandmappingtheEarth'ssurface.However,temporalandspatialvariationsinsensorcharacteristicscanleadtoinconsistenciesbetweenimagesacquiredatdifferenttimes.Thispaperpresentsamulti-temporalremotesensingimagestripcorrectionmethodtoaddressthesechallengesandensureaccurateandconsistentanalysis.Theproposedmethodincludespre-processingstepstocorrectimagestripdistortions,imageregistrationtechniquestoalignimages,andradiometricnormalizationtoaccountforsensor-specificdifferences.Theeffectivenessofthemethodisdemonstratedthroughacasestudyinvolvingmulti-temporalsatelliteimagery.Theresultsindicatethattheproposedmethodsuccessfullycorrectsimagestripdistortionsandimprovesthecomparabilityofmulti-temporalremotesensingdata. 1.Introduction RemotesensingsatellitesystemscaptureimagesoftheEarth'ssurfaceatdifferenttimes,providingvaluableinformationforawiderangeofapplicationssuchaslandcovermapping,environmentalmonitoring,anddisastermanagement.However,changesinsensorcharacteristics,atmosphericconditions,andviewinganglescanintroduceinaccuraciesandinconsistenciesbetweenimagesacquiredatdifferenttimes.Theseinconsistenciesaffectthecomparabilityandreliabilityofremotesensingdata,hinderingtheaccurateanalysisandinterpretationoftemporalchanges.Toaddressthisissue,amulti-temporalremotesensingimagestripcorrectionmethodisproposedinthispaper. 2.ImagePre-processing Thefirststepintheproposedmethodisimagepre-processing,whichaimstocorrectimagestripdistortionscausedbysensor-specificcharacteristicsandEarth'srotation.Thisstepinvolvesgeometriccorrectionstoremovedistortionsandensureproperalignmentbetweenadjacentimagestrips.Severaltechniques,suchasorthorectification,canbeemployedtoadjustforterrainvariations,reliefdisplacement,andperspectivedistortions.Additionally,radiometriccorrectionsmaybeappliedtoharmonizethebrightnessandcontrastoftheimages. 3.ImageRegistrat