基于图像代数的居民地变化检测方法-研究

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1、万方数据太原理工大学硕士研究生学位论文Paperanalysesandsummarizestheremotesensingimagechangedetectionresearchstatusathomeandabroad，imagealgebrabasedchangedetectionmethodhasthecharacteristicsofsimple，fastandefficient．Relatedtheoryandmethodarediscussedindetailfoechangedetectioninvolved，Thenthemainfactor

2、sinfluencingthechangedetectionresultsarecontrastanalyzedfromthreeaspects"．howtochoosedatasources，thebasiccontentandrequirementsofimagepreprocessingandcommonchangeinformationextractionmethod．ToLaythetheoreticalfoundationforchangedetectionmethodbasedonimagealgebra．UsingtheRPCmodel+co

3、ntrol+DEMmethodforhighprecisionregistrationoftworemotesensingimages，tocorrectthelocalimagetranslationandscalingcoefficientsofthewholesceneRPCmodel,AndcorrecttheregionalimagerapidUitprovidesthebasisinlagedatafort11echange，’detection．Fortheproblemofhowtofindsettlementschangeinformati

4、onquicklyandefficiently,Tostudythetargetfeatureimagechangedetectionmethodbasedonimagealgebra．Generatethefeatureimagethroughcalculatingcorrespondingpixelsgreyvaluesum,difference，productandratioineachbandimageofremotesensingimage，tomakesettlementsCangetacertainenhanceandhighlight0ntm

5、age．'-●-●-●Throughtheanalysis，the8kindsoftypicalfeaturecategorieswereselectedtocollectsamplesfortheZY-3satellitemultispectralimages，andtheIV万方数据太原理工大学硕士研究生学位论文graphoftypicalfeaturewavelength-greyvaluewasestablished，theverticalaxisWasthesampleaveragegreyvalueandthehorizontalaxisWast

6、hebandcenterwavelength．Thepositionofthecurvereflectedthebrightnessheightofthedifferentfeaturesintheactualimage，andthesettlementselementswerelocatedinarelativelyhigherpositioninthegraph．Thequadraticpolynomialregressionequationwasestablished，theindependentvariableWaswavelengthandthed

7、ependentvariablewasgreyvalue，andthenwesolvetheequationandmatchwiththegraphtogetthequadraticregressioncurve．Throughexperiments，thevaluesofO．60Wasdeterminedtobetterhighlightthesettlementselementsinformation,andthevaluewaspluggedintotheregressionequationtogetthecalculationmodelofthese

8、ttlementselementfeatureima