a knowledge-based appoach for reducing cloud and shadow

a knowledge-based appoach for reducing cloud and shadow

ID:5536287

大小:2.07 MB

页数:25页

时间:2017-11-23

a knowledge-based appoach for reducing cloud and shadow_第1页
a knowledge-based appoach for reducing cloud and shadow_第2页
a knowledge-based appoach for reducing cloud and shadow_第3页
a knowledge-based appoach for reducing cloud and shadow_第4页
a knowledge-based appoach for reducing cloud and shadow_第5页
资源描述:

《a knowledge-based appoach for reducing cloud and shadow》由会员上传分享,免费在线阅读,更多相关内容在教育资源-天天文库

1、AKnowledge-basedApproachforReducingCloudandShadowMingjunSongandDanielL.CivcoLaboratoryforEarthResourcesInformationSystems(LERIS)DepartmentofNaturalResourcesManagement&EngineeringTheUniversityofConnecticutU-4087,1376StorrsRoadStorrs,CT06269-4087ProblemCompletelycloud-freeremotelysensedimages

2、arenotalwaysavailable,especiallyintropical,neo-tropical,orhumidclimates,posingcomplicationsandperhapsseriousconstraintstoimageanalysisObjectiveDevelopaknowledge-basedmethodtoproduceacloudandcloudshadow-freemultitemporalimagecompositeofneo-contemporaryimagesMethodologyTopographicalnormalizat

3、ionMulti-dateBrightnesscorrectionMainimageversussecondaryimageTodetectthoseareaswhicharecoveredwithcloudandshadowinthemainimage,andnothavingcloudorshadowinthesecondaryimageReplaceFirstStudyAreaEasternMadagascarDecember15,2000April22,2001TopographicalNormalizationNormalizationResultMulti-dat

4、eBrightnessCorrectionCriteriaBand1:CloudBand4:ShadowBandDifferenceRationale:Ifthedifferenceislessthanathreshold,itshouldbethesameobjectintwodatesimagesCriteria:ShapeInformationShadowandstream.eCognition,length/widthLength/width:BoundingBox:CovarianceMatrix:KnowledgeBaseParameterCloudShadowO

5、utputValue21Band1(MainImage)>41>=0Band4(MainImage)>=0<35Band1(SecondaryImage)<33<33Band4(SecondaryImage)>=0>27Band1Difference>10>=0Band4Difference>=0>10Length-to-WidthRatio>=0<9ImagineSpatialModelCloudandShadowDetectionExpert01_band100_band101_band400_band4Band1_difBand4_difObj_lwCompositeR

6、eplaceSecondStudyAreaETM23April2001ETM26March2000Central-EasternConnecticutThamesRiverUConnMulti-dateBrightnessCorrectionSample_01Sample_00Sample_00_corr00_corrCriteriaBand1:CloudBand4:ShadowBandDifferenceContextualInformationDifficulty:CloudedgewithurbanareaShadowwithwaterareaRationale:Clo

7、udedgeandshadowareashouldbeaccompaniedbyclearcloudareaBuffertheclearcloudareaKnowledgeBaseParameterCloudShadowOutputValue21Band1(MainImage)>95>=0Band4(MainImage)>=0<46Band1(SecondaryImage)<221<221Band4(SecondaryImage)>=0>=0Band1Difference>10>=0Band4Diffe

当前文档最多预览五页,下载文档查看全文

此文档下载收益归作者所有

当前文档最多预览五页,下载文档查看全文
温馨提示:
1. 部分包含数学公式或PPT动画的文件,查看预览时可能会显示错乱或异常,文件下载后无此问题,请放心下载。
2. 本文档由用户上传,版权归属用户,天天文库负责整理代发布。如果您对本文档版权有争议请及时联系客服。
3. 下载前请仔细阅读文档内容,确认文档内容符合您的需求后进行下载,若出现内容与标题不符可向本站投诉处理。
4. 下载文档时可能由于网络波动等原因无法下载或下载错误,付费完成后未能成功下载的用户请联系客服处理。