遥感影像中建筑物平面及高度信息提取方法.docx

遥感影像中建筑物平面及高度信息提取方法
Title:ExtractionMethodsforBuildingFootprintsandHeightsInformationinRemoteSensingImagery
Abstract:
Remotesensingimageryprovidesavaluablesourceofinformationforbuildingfootprintextractionandheightestimation.Thispaperpresentsacomprehensivereviewofthevariousmethodsusedforextractingbuildingfootprintsandestimatingtheirheightsfromremotesensingimagery.Theaimofthisstudyistoidentifyandevaluatethestrengthsandweaknessesofdifferenttechniquesandprovideanoverviewofthestate-of-the-artmethodscurrentlyusedinthisdomain.Theobjectiveistoprovideinsightsintotheadvancementsmadeinbuildingextractiontechniquesandtoidentifyfutureresearchdirections.
1.Introduction:
Remotesensingimageryhasbecomeincreasinglyimportantforapplicationsrelatedtourbanplanning,disastermanagement,andenvironmentalanalysis.Extractingaccuratebuildingfootprintsandheightinformationfromremotesensingimageryisofutmostimportancefortheseapplications.Thispaperpresentsanoverviewofthetechniquesusedforbuildingextractionandheightestimation,highlightingtheiradvantages,limitations,andpotentialapplications.
2.BuildingFootprintExtraction:
2.1ManualInterpretation:
Manualinterpretationinvolvesvisualinspectionofsatelliteimagerybyexpertswhomanuallydelineatebuildingfootprints.Althoughtime-consumingandlabor-intensive,itremainsoneofthemostreliablemethodsforbuildingextraction.
2.2Object-BasedImageAnalysis(OBIA):
OBIAisapopulartechniquethatinvolvessegmentingtheimageintomeaningfulobjectsbasedonspectralandcontextualinformation.Buildingfootprintscanthenbeextractedbyapplyingrule-basedclassificationormachinelearningalgorithms.
2.3DeepLearning:
Deeplearningtechniques,suchasconvolutionalneuralnetworks(CNN)andrecurrentneuralnetworks(RNN),haveshownpromisingresultsinbuildingextraction.Thesemethodscanautomaticallylearnfeaturesfromlargeamountsoftrainingdata,resultinginaccuratebuildingfootprintdelineation.
3.BuildingHeightEstimation:
3.1ShadowAnalysis:
Shadowanalysisinvolvesutilizingtheshadowcastbyabuildingtoestimateitsheight.Byanalyzingthele