简介:Thetheoreticalframeworkofvisualsimulationinvirtualrealityisdiscussed.Thenewconceptofvisualimagespaceissupposed.Onthebasisofvisualimagespace,invisualperceptivesense,VRisconsideredasaspatialsimulation.Theobjectiveofthespatialsimulationistotransformphysicalspacetovisualimagespace.Last,theprototypesystem,surveying&mappingvirtualReality(SMVR),isdeveloped,andthespacesimulationaboveisrealized.ByuseofSMVR,thereal3Drepresentation,3Dvisualanalysis,virtualplananddesignscanbeimplemented.
简介:Roughsetisanewapproachtouncertaintiesinspatialanalysis.Inthispaper,roughsetsymbolsaresimplifiedandstandardizedintermsofroughinterpretationandspecializedindication.Roughspatialentitiesandtheirtopologicalrelationshipsarealsoproposedinroughspace,thusauniversalintersectedequationisdeveloped,androughmembershipfunctionisfurtherextendedwiththegrayscaleinourcasestudy.Wecompletethreeworks.First,asetofsimplifiedroughsymbolsisadvancedonthebasisofexistingroughsymbols.Second,roughspatialentityisputforwardtostudytherealworldasitis,withoutforcinguncertaintiesintocrispset.Third,roughspatialtopologicalrelationshipsarestudiedbyusingroughmatrixandtheirfigures.Therelationshipsaredividedintothreetypes,crispentityandcrispentity(CC),roughentityandcrispentity(RC),androughentityandroughentity(RR).Auniversalintersectedequationisfurtherproposed.Finally,themaximumandminimummapsofriverthematicclassificationaregeneratedviaroughmembershipfunctionandroughrelationshipsinourcasestudy.
简介:Conventionalmultispectralspaceforcolorrepresentationismodifiedbyalgorithmofclusteranalysisandprincipalcomponentanalysis.Resultsshowthatthenewermodifiedmultispectralspacenotonlykeepingthestructureoftheoriginalspacebuteliminatingzero-crossesaswellitsaccuracyofcolorrepresentationishigherthantheconventional.
简介:Thispaperdevelopsawide-bandmulti-spectralspaceforcolorrepresentationwithAitkenPCAalgorithm.Thisnovelmathematicalspaceusingthebroad-bandspectramatchingmethodaimsatimprovingtheaccuracyofcolorrepresentationaswellasreducingcostsforprocessingandstoringmulti-spectralimages.Theresultsshowthatthespacecanpresentourexperimentaloriginalspectralspaces(i.e.MunsellcolormattandDIN-6164colorchips)withhighefficiency,andthatthespanningspacewiththreeeigenvectorscanpresenttheoriginalspaceatmorethan98%CSCR,andwhen5eigenvectorsareuseditcancoveralmostthewholeoriginalspaces.
简介:Thispaperinvestigatesthemathematicfeaturesofnon-linearmodelsanddiscussestheprocessingwayofnon-linearfactorswhichcontributestothenon-linearityofanonlinearmodel.Onthebasisoftheerrordefinition,thispaperputsforwardanewadjustmentcriterion,SGPE.Last,thispaperinvestigatesthesolutionofanon-linearregressionmodelinthenon-linearmodelspaceandmakesthecomparisonbetweentheestimatedvaluesinnon-linearmodelspaceandthoseinlinearmodelspace.