11856.面向?qū)ο蟮母叻诌b感影像分類在森林蓄積量估測中的應用研究

1、學位論文獨創(chuàng)性說明本人鄭重聲明：所呈交的學位論文是我個人在導師指導下進行的研究工作及其取得研究成果。盡我所知，除了文中加以標注和致謝的地方外，論文中不包含其他人或集體已經(jīng)公開發(fā)表或撰寫過的研究成果，也不包含為獲得西安科技大學或其他教育機構(gòu)的學位或證書所使用過的材料。與我一同工作的同志對本研究所做的任何貢獻均已在論文中做了明確的說明并表示了謝意。學位論文作者簽名：日期：Subject:TheapplicationresearchofObj

2、ectientedhighresolutionremotesensingimageclassificationinfestvolumeestimateEngineeringField:SurveyingMappingEngineeringName:YaoXiao(Signature):Instruct:LiChonggui(Signature):WangXiaoping(Signature):ABSTRACTHighspatialres

3、olutionremotesensingimagescontainabundantstructuresemanticinfmationwithhighscesonobjectientedremotesensingimageclassificationtechnologyusesimagepixelaroundseveralhomogenouspixelofimageobjectscanmakefulluseofthestructures

4、emanticfeaturesofspacewhichtheimageobjectcontainsconstructaclassifiertoclassify.Comparedwiththetraditionalneedleobjectsclassificationmethodtheclassifiedmethodofobjectientedclassificationeffectisbetterfhighresolutionremot

5、esensingimage.Usingthemonitingareaoftheexistingfixedsampleplotsurveydatatoestablishestimatemodeltheareaoflusetypesofwoodlaccumulationtoestimatereservoirdistributionisthemethodtoestimatefestvolume.Sotheremotesensingimages

6、ofmonitingareaneedtobeclassifiedindertodistinguishthescopeofthewoodl.Becauseoffestltypesinclude:coniferousfestbroadleavedfestmixedneedlesuchasdifferenttypesdifferentfesttypesofvolumeisputinbiggerdifference.Inthefestvolum

7、eestimatingfestcategyofmaincategiesaccumulationestimateequationrespectivelythenthemonitingareabyfestcategytypeofremotesensingimageclassificationtheaccumulationofvariousfestcategycrespondingtoestimateequationwasusedtomoni

8、tareaontheremotesensingimagematchingprecisionfestcategydistributionareacanimprovethefeststockvolumeestimationaccuracy.Remotesensingimageswithhighmarksinthesurveyapplicationinthefieldoffestresourcesinourcountryusingtheobj

9、ectientedclassificationtechnologyofmonitingareaofremotesensingimageclassificationonthebasisofprecisioncanimprovetheaccuracyoffestvolumeestimatetokindoffestresourcesinourcountrythesecondclasssurveyprecisionefficiencyhasth