基于互評(píng)估的多星遙感SST數(shù)據(jù)質(zhì)量評(píng)價(jià)及可視化技術(shù).pdf

1、上海大學(xué)碩士學(xué)位論文基于互評(píng)估的多星遙感SST數(shù)據(jù)質(zhì)量評(píng)價(jià)及可視化技術(shù)姓名：孫士杰申請(qǐng)學(xué)位級(jí)別：碩士專業(yè)：計(jì)算機(jī)應(yīng)用指導(dǎo)教師：徐凌宇20090201上海大學(xué)碩十學(xué)位論文ThePostgraduateThesisofShanghaiUniversityABSTRACTAtpresent，monitoringseasurfacetemperature(SST)consistsofanumberofwayssuchasremotesensin

2、g，observationstations，oceanbuoys，marineresearchvesselsandetcAmongthem，observationstations，oceanbuoysandmarineresearchvessels，asdirectlymeasuringmeans，canprovideoffshoreSSTproductswithhi【ghqualityHoweverlimitationsofshipr

3、outes，sparsenumberofbuoysdeployed，anddiscreteSSTobservationpointsmakedirectlymeasuringSSTthewaycharacterizedbylowerspatialcoverageandpoorcontinuityoftimeresultinginalotofgapstobefilledRemotesensingbyvirtueofitshigherspat

4、ialandtemporalresolutionhasbecomeanindispensablesourceofSSTdataAsaresult，thequalityandreliabilityofSSTdatacallsforcloserinvestigationThispapermainlyconcernsthediscrepancyamongandreliabilityofmultichannelremotesensingdata

5、Avisualizationsystem，aspartofasystemaimingmultichannelfusionforseasurfacetemperature，seasurfacewave，andseasurfacewind，isalsodevelopedItiswellknownthattheaccuracyofremotesensingSSTisinterferedbyatmosphericenvironment；espe

6、ciallyinareasrichofcloud，rainandmoisture，suchinterferenceisevenmoreremarkablePreviousstudies，bycomparisonofremotesensingdataanddireetlymeasureddatahaveconfirmedthatthereexistssystematicdeviationbetweenthosetwoentitiesint

7、hecoastalareasInmanyregionsofthegJobalocean，howeveritisdifficulttocorrectthesystematicdeviationassociatedwithremotesensingSSTbecauseofthelackofcontinuousrealtimeSSTinformationInviewofthis，thispaperproposesaconsensusmeasu

8、rementmodelformultichannelSSTremotesensingdatawhichisabletoevaluatethereliabilityofmulti—channelSSTremotesensingdataThispaperdevelopsthefollowingspecifictasks：First，AccordingtothefactthatSSTremotesensingdatasatisfiesthen

9、ormalcumulativedistributionaswellastotheactualmeaningofconsensusmeasurementformultichannelSSTdatathispaperproposesaprincipleofconsensusmeasurementformulti—channelSSTdataandestablishesamathematicalmodeltoachievethequalifi