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《Application of random sets to model uncertainties of natural》由會員上傳分享，免費(fèi)在線閱讀，更多相關(guān)內(nèi)容在行業(yè)資料-天天文庫。
1、StochEnvironResRiskAssess(2010)24:713–723DOI10.1007/s00477-009-0358-3ORIGINALPAPERApplicationofrandomsetstomodeluncertaintiesofnaturalentitiesextractedfromremotesensingimagesXiZhao?AlfredStein?XiaolingChenPublishedonline:15November2009óSpringer-Verlag2009AbstractRemo
2、telysensedimagesasamajordatasourceboundariesarerepresentedbyrandomsets,andtheirsta-toobservetheearth,havebeenextensivelyintegratedintotisticalmeanandmedianareestimated.Randomsetsarespatial-temporalanalysisinenvironmentalresearch.Infor-wellsuitedtoestimatetheseboundar
3、ies.Weconcludethatmationonspatialdistributionandspatial-temporaldynamicourmethodbasedonrandomsettheoryhasapotentialtoofnaturalentitiesrecordedbyseriesofimages,however,serveasageneralframeworkinuncertaintymodelingandisusuallybearsvariouskindsofuncertainties.Todeepenou
4、rapplicableinaspatialenvironmentalanalysis.insightintotheuncertaintiesthatareinherentintheseobservationsofnaturalphenomenafromimages,ageneralKeywordsRandomsettheoryUncertaintydatamodelingmethodologyisdevelopedtoembracedif-SpatialdatamodelWetlandvegetationImagefer
5、entkindsofuncertainties.Theaimofthispaperistoproposearandomsetmethodforuncertaintymodelingofspatialobjectsextractedfromimagesinenvironmental1Introductionstudy.Basicconceptsofrandomsettheoryareintroducedandprimaryrandomspatialdatatypesarede?nedbasedonRemotesensingplay
6、sanimportantroleindatacollectionthem.Themethodhasbeenappliedtodynamicwetlandformonitoringdynamicgeographicalphenomena.SeriesofmonitoringinthePoyangLakenationalnaturereserveinremotelysensedimagesasamajordatasourcetoobserveChina.FourLandsatimageshavebeenusedtomonitorth
7、eearthhavebeenextensivelyintegratedintospatial-grasslandandvegetationpatches.Theirbroadgradualtemporalanalysisinenvironmentalresearch,forexampleformonitoringchangesinlakesediment(Wuetal.2007),forest?re(Umamaheshwaranetal.2007),glaciercoverageX.Zhao(&)A.Stein(Yeetal.
8、2006)andurbanheatisland(Daietal.2009).EarthObservationScienceDepartment,InternationalInstituteTheseimagesareonlysnapshotsofprocesse
