11856.面向?qū)ο蟮母叻诌b感影像分類(lèi)在森林蓄積量估測(cè)中的應(yīng)用研究

1、學(xué)位論文獨(dú)創(chuàng)性說(shuō)明本人鄭重聲明：所呈交的學(xué)位論文是我個(gè)人在導(dǎo)師指導(dǎo)下進(jìn)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(biāo)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(kāi)發(fā)表或撰寫(xiě)過(guò)的研究成果，也不包含為獲得西安科技大學(xué)或其他教育機(jī)構(gòu)的學(xué)位或證書(shū)所使用過(guò)的材料。與我一同工作的同志對(duì)本研究所做的任何貢獻(xiàn)均已在論文中做了明確的說(shuō)明并表示了謝意。學(xué)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