1、太原科技大學碩士學位論文基于BP神經網絡的遙感影像模式識別方法研究姓名：王翔申請學位級別：碩士專業(yè)：計算機應用技術指導教師：譚瑛20090701ABSTRACTRemotesensing，asitsnameimplies，issensingremotelyAlargenumberofhumanbeingshavefoundthateveryobjectonEartharecontinuouslyabsorbingandreflectin

2、glaunchofinformationandenergythroughthepractice，andahumanformelectromagneticwaveshasbeenrecognized，alsofoundthattheelectromagneticpropertiesofdifferentobjectaredifferentAccordingtotheprinciplesofremotesensingistodetectob

3、jectsonthereflectionofelectromagneticwavesandthentoextractinformationfromtheseobjectsinordertocompletetheremoteidentificationAndremotesensingimagesistoobtainthepicturefromdistantobjectsItSOastoshowtheimageoftheauthentice

4、nvironmentsurfaceinaformoftiny，whichhelphumansensesbeyondtheirlimits，andtomonitorthedynamicchangesoftheearth’Senvironmentinatimelyandquicklyperceivedmannerwithdifferentspatialscales，Ithasbecomeanimportantmeanstoobtainthe

5、informationofEarth’SresourcesandenvironmentInconclusion，thisarticlestudiesonthecurrentstatusquoathomeandabroad，basesontheuseofBPneuralnetworkalgorithm，wavelettransformcombinedwithprofessionalsoftwareandremotesensingPCI，a

6、ndengagedinremotesensingimageclassificationresearch，primarilytocompletethefollowingtasks：1Firstreviewanumberofresearchworkmadebythedomesticandforeignscholarsinthefieldofremotesensingimageclassification，focuseonprinciples

7、andmethodsofBPneuralnetworkforremotesensingimageclassificationandtheprincipleofwavelettransform2Correcttheoriginalremotesensingimagedataintegratepreprocessing，reducenoisebywavelettransformdataprocessing3BPneuralnetworkis