ENVI4.5监督分类图文并茂超详细操作步骤

1、单击fileOpenImageFile打开图像，我的是TM7波段图像，加载5、4、3波段。根据lay选样本，OverLayRegionOfInteresting森林灌木、草地裸地耕地沙地其他（如水体、阴影之类的）4宿#1(K:TMBarfed5r4宿#1(K:TMBarfed5rG:TMBand4rB:TMBand一4|FileOverlayEnhanceToolsWindow选样本在Zoon放大窗口里选，这样可以选的更精确一些。#11#11File3*1(R:TMBand5rG:TMBand4,B:TMBand3):j=回FileOv音卄目yErrhanegTooI&WindowWind.0

2、1|New#1Scroll(0.4)00中盘I#1Zoom阳三左键下点，右键结束因光谱值有差异，不在同一片地方选样本回ib心#1Scroll(0.40000)11中Q*(R:TMBand5回ib心#1Scroll(0.40000)11中Q*(R:TMBand5rG:TMBand4.B:TMBand3):csn_tmrjmgFileOverlayEnhanceTookWind-ow再在另一片地方选一下样本:了旳(R:TMBand5rG:TWBand4.B:TMBand3):csn_tmr.img_-FileOverlayEnhanceToolsWind-ow爭#1(R:TMBand5rG:TMB

3、and4.B:TMBand3):ean_tmrJmg!-FileOverlayEn-hanceToolsWindow回t4；回#1Scroll0.40000日BE#1(R:TMBand5rG:TMBand4,.B:TMBand3):c3n_trnrinngFileOverlayEnhanceTo-alsWindowE411-.J-V#1(R:TMBand5rG:TMBand4.B:TMBand3):t3n_innr.anng.回i回#1Scroll(0.4W00)-V#1(R:TMBand5rG:TMBand4.B:TMBand3):t3n_innr.anng.回i回#1Scroll(0.4W

4、00)哥亠7FifeOverlayEnhanceTo-ols-Windowt-J-回书1Z：J-回书1Z：oom7了範(R:TMBand5rG:TMSand4fB:TMBand3):c3nJmr.iTngFileOverlayEnhanceTools.Window*1Scroll(O.MOOO)c=正常情况下是通过别的方式选样本，如：野外调查或波峰影像上选样本，本次因条件限制就直接在图上选了。选的差不多了，就选第二种灌木、草地样本，点选法样直至六类的NewRegion按钮，都选完样本选完后验证样本对不对，静不精确#1FIO1ToolFileROI_TypeOptionsHelpWindow：1

5、-ImarefScroil*Z:onfOftMINamsColorFixalsFclygurLiFolyl191Y/191a/o灌木、草地j-reenS915/91a/o裸地Magental524Y/54a/o沙地White1645/164a/o耕地j-reeriS2195/219a/o其它1435/143J/0SelectMlHideROIsShowROIs占占八、的Options后出现的下来菜单，选倒数第二个ComputeROISeparabilityROISeparabiityReport*1(R;TVBand5rG;TMBand4;0rFileROI_TypeOption5HelpTF

6、ilsOverlayEnhaneeTool点击后出现上面的对话框，选择我所要分类的图像，单击“0K”。出现下面的对话框:SelectInputFileforROISeparabilityROISeparabiityReportROISeparabiityReport，点击SelectAllIterm选择全部的可分离性的ROISeparabiityReportROISeparabiityReport样本，然后点击“OK”，出来下表:ROISeparabiityReportIFile草林地地地它、淼裸沙耕其木灌iGreen391points:Greenl191points:(1.669183881

7、.82222340)Magental524points:(1.957323461.93744769)White1&4points:(1.999931321.9999S692JGreen2213points:(1.399374132.00000000)Blue143points:(2.000000002.00000000)裸地Magentai524points:杞林Greenl191points:(1.999257571.99991101)恳木、草地Green391points:(1.957328461.98744769)White1E4points:(1.997733631.99975213G

8、reen2219points:(1.999932252.00000000)Blue143points:(2.000000002.00000000)uhi林木地地它淼灌裸耕其也tGreenl191points:(2.000000002.00000000)、草地Green391points:(1.999981321.99998692)Magental524points:(1.997733631.99975213)Green2219points:(1.999933032.00000000)Blue143points:(2.000000002.00000000)蘇灌裸沙其Gr林木地地它_y12Gree

9、nl191points:(1.999940951.99999746)、草地Green391points:(1.999974132.00000000)Magental524points:(1.999982252.00000000)White164points:(1.993938082.00000000)Blue143points:(2.000000002.00000000)ROISeparabiityReportB1林木地地地1B1林木地地地1淼灌裸沙耕它其林木林地林地林木木地木地林地地森灌淼裸森沙森灌灌裸灌裸森沙耕91pointsand耕地Green2219points-1.9S9974139

10、1pointsand莎地White164points-1.99S9S132pointsand聊上也Green2219points-1.9939822591pointsand其它Blue143points-2.00000000_pointsand其它Blue143points-2.00000000Greenli91poinand沙地White164points-2.00000000ue143poin:Greenl191points:(1.974192992.00000000)、草地Green391points:(2.000000002.00000000)Magental524points:(2.

11、000000002.00000000)White164points:(2.000000002.00000000Green21219points:(2.000000002.DOOOOOOD)PairSeparaticui(leasttomost).Greenl191pointsand灌木、草地Green391points-1.66910300章地Green391pointsand裸地Magental524points-1.95732046Greenl191pointsand其它Blue143points-1.97419290Magental524pointsand沙土也White164point

12、s-1.99773363Greenl191pointsand裸地MamEntad524points-1.99925757White164pointsand耕也Green2219points-1.99993008Greenl191pointsand耕地GreEn2219points-1.9999405草地Gr已已nJ草士也Green3Magental524草士也Green3Maimmntal524White164pointsand其它Blue143points-2.00000000Green2219pointsand其它BIue143points-2.00000000在这个表里，凡是最后的那个数

13、值大于1.8的就说明符合要求，由此看出第一个是不符合要求的，应该是选的时候有问题（估计主要问题是灌木没有选好），按要求有问题就应该重新选，不过灌木和森林容易混淆，不容易选对，就不再重新选样本了。只列出修改方法：回Qf*1ROITocl在上面的对话框里选择森林,回Qf*1ROITocl在上面的对话框里选择森林,然后点击Goto,浏览每一个样本，将不好的样本删掉，再重新选一遍，然后再重新计算,直到达到要求为止。上面是定量的评价，还有一个是定性的看：单击File，然后点击ExportROIstoVisualizer会出现n-DVisualizerInput尺OkSelectIn.putRCIeCji

14、-eenlJ131卫oints、草地GrEen391pointsMaen七汪1524jo1nteWhite164pointsreen219jiditltmELuq143pointsSeisctAllItemsffuniberofit&msselected：ClearAllItSeisctAllItemsffuniberofit&msselected：ClearAllIt，也是一样全选，点，也是一样全选，点对话框，OECancel，然后点击“OK”，出现击“OK”出现n-D可视化,然后点击1、2、3、45、6，全选后，单击Start,会出现一动态变化的样本聚类情况，在此只截一张图F?n-DVsu

15、alizeryr+ikuiiooFileROLTypeOpfioHelpEDIHimCblor?LXaIe耳191渔木i草地IjTEeiiO91|!裸地524PiVhLti164!n-DCantirukfinder:广5吐耽|宀Scroll回nD!aLSojids123456Speed.10目Vibv(5/25Start|Step4|-/|弟File匸IseeOptions定性的看样本是否选的好，就看那个样本集中的程度，越高代表样本越好。F面就可以分类了:点击主菜单的ClassificationSupervisedMaximumLikelihood（最大似然发），出现SupervisedI.1

16、ClassificationInputFile单击OKMaximumLikelihoodMaximumLikelihoodParametersMaximumLikelihoodMaximumLikelihoodParametersSaLdctClaEEOEramHaidue：WLGreenlJ191points*草地Gr亡QIpoiritsSaLdctClaEEOEramHaidue：WLGreenlJ191points*草地Gr亡QIpoiritsMagental524pointsWhite164lointsGr6en221QpointsElue143pointsOuipatkesiil-t

17、tof?FlIcFlcnar-EntflrChitpuiCIsseFilChocsc厂ConprasE|Il:.-icidleVt-n-clossDiitpiitRuleImages?SelectAllItensClearMlItemsSetFrtyThreahoLdHoneASinLeVaJ-os1MultipleVaJ-ossProbabllityThrestioldDataSc&leFactor芒出COMaximumLikelihoodMaximumLikelihoodParametersMaximumLikelihoodMaximumLikelihoodParametersMaximu

18、mLikelihoodMaximumLikelihoodParametersMaximumLikelihoodMaximumLikelihoodParametersOECQueueCancelHelpPreviewMaximumLikelihoodMaximumLikelihoodParametersMaximumLikelihoodMaximumLikelihoodParameters按着Shift全选样本，给输出分类文件命名并选择存储位置，然后点击OK输出，可用波段列表里会多出一个如图，在其上右键然后单击LoadBandtoNewDisplay在新窗口加载分类图像如下：回回#2Scroll

19、(0.40000)S3143points-2.00000000Q#2Zoom4.=对分类图的后后处理（改名字、改颜色、分类后处理）:单击OverlayClassificationSllcr;GridLines叠加分类图1(R:T1Band5G:Tl.JBand匕F订mOverlayEnhanceToolsWindowAniLutatim选择分类文件点OK,勾选样本前面的On可以叠加相应的分类，如：LhJWindow回#1Scroll(0.4M)00)Q#1(R:TMBand5rLhJWindow回#1Scroll(0.4M)00)Q#1(R:TMBand5rG:TMBandAETMBand3)

20、:c3n_tmr.in-igFile-OverlayEnhanceTo改名字:EXActireEditclass犬sCLcie営EXActireEditclass犬sCLcie営/r皆m电気M：ergeasses.屹电亠SIIberaati.veClassTociLfilsElitClassdaiEtritxition.KeanforactiveclassOn1Meaito-ral1cLasses1Sieima22fr富ctie；口血1Sf:at3forallcJl宜ss&s也White36匚sJLcvxl&CovariancewitkStats一血1iELsci373Associitedst

21、atsdatafile.1Cl&ssTrsKLEarMLcy.HiieWin.3ew选择每一个分类，然后去掉后面的像素数，修改完毕点OK,然后单击，选择第二个即将选Edi，选择第二个即将选Edi择的类别并到其他类别里面去，出现下面的对话框,选Zoom，在On前面勾选即被归并的类别，点击颜色即要归并入的类别，然后在Zoom里左键画线，单击第一次一次右键闭合选择某一区域，再单击一次右键及可把此区域分错类别才分类并入另一类别里变回成了草地如：错分成林地的草地变回成了草地其他的分类后处理：1精度印证：用混合矩阵*1ROTool*1ROTool精度印证样本怎么来的：野外调查，在google上看那个是什么

22、东西）出来对话框SelectGrijuiniTruthROIS51hC+匚lassificatinnImageUnclazsifiedGroundTruthEDIkdd.CunitiRatLunWhiteGreen2BlueSelectGrijuiniTruthROIS51hC+匚lassificatinnImageUnclazsifiedGroundTruthEDIkdd.CunitiRatLunWhiteGreen2Blue麓木、草地filamentalGreen-：!JOKICancelI选择分类图像，点OK,样本，右边是选择样本，匹配分类后左边是印证OK,点OK,出来下面的矩阵表Mat

23、chCl目sseiParameteirsClassConfusioiiMatrixIRI-bCotituslonMat-tih:D:djcach.etnLcLBissoloo口CZ6l01002003曲地DD02130D2L9ClassGroundTruth森林(Pixels)沙地Uticlassified0D森TTCroznl177D眇土也White0稱地GfBen20D挂它Blue潘木、童地G140梶地Magenta0DTotal191164Ouera1LAccuracy=(L316/L332)KacjpaCoefficient.=0.904393.7SBBI.Pishla)I.Pishl

24、a)Total179164219142104S2i1392ClassUnclassified裡林GrBeml妙地White樹地Gm2潘软魄卞揀上也MagemtaTotalGroundTruth袜地D0000052iG24ClassUnclassified蘇抹Gresnl抄地White群地亡亡ssn2j其它Blue灌木.草地G輝地HagentaTotalGroundTrutb淼林0.0092.6?0.000.000.007.33D.DD100.00IPercent)沙地.OD.OD.OD.OD.OD.0000ooooo_uDoon_11_曲地0.0D0.0D0.0D100.0D0.0D0.00D

25、D10000其运灌木-草地0.DO0.000.?01.100.DO0.000.DO0.0099.200.000.DO98.90D.cm10000100.00oo_uDoooooooo_uDooooooiPerzent)Total.0D.1.34.00ClassUnclasaified褓袜GrEenl眇地White其住Blue舉木、G規地11gentnTptdJ.GroundTruth.裸地.00.00.00.DD.00.00.00.00ClassUnclassified褓林Greenl眇地Uhite蚪地Green2其住Blue蛊木、草岀疋WiferM-igente.Toto

26、J.GroundTruth淼柿.oa.67.oo.DO.00.33.00.00DDooooooooon-oooooooooooD七Go-uoo_uooLDQ.DOn-ooooon-ooLDO.OO它0a7a0oL-fB-ooo10港木*宰地D.OQ1.100.00D.DD0.003B.9QD.OQ10D.OQClassUncl且iEd蘇林Greenl抄地Uhitu耕地GresnS耳它Blue灌木.草地G媲地MagentaTotalToooooDn-oTOOOOODOOdooooooonDD(Percent;Total0.0013.4A12.3116.4410.667.Bl39.341D0.00

27、Class取悴Green1沙地Uhite耕1也GreenZ其它Zlluc-灌丰、卑地Q裸地HagetitaCanLTLissian(Percent)(Percent)-7.-ooo6-u100040100030-JoooQ_u300710Cannissian(PlhbIs)2179D164D-15D-4214/ICMD/524Uhlss-ioil(Pixelsi4zmDZ164D.219l-431.-91DZ&24ulass薜林Greenl沙地Vhite耕地GreBn2基它Blue童木s草地G視地HagentaFlod.acc.(Fercen.t)92.67LDO.OOLDO.OO99.309

28、8.90LDO.OOUseracc.(Eercent)99.861D0.00LDO.OOLOO.DD86.54IDO.00FlOd.acc.(Pixels)177-9i164464219/219142/14390Z91524524UserAcc.(PlksIsI177x17916642L9Z219112/1290Z10452524ClassProd.Acc.UserAcc.fPer-cent)(Percent聚林Greenl92.6798.88沙地White：100.00100.00牝地Green2100.00100.00其它Blue99.30100.00龍木、草地G98.9086.54杲地M

29、agenta100.00100.00*)后处理（出去小碎点）:.孑Cla5Eif匚吕tionInpirtFile点OK,(Majority的点OK,合并的越多；Minority很少用）点0K,结果为回SI回r：#3MajorityAnalysis(tm-cl合并的越多；Minority很少用）点0K,结果为回SI回r：#3MajorityAnalysis(tm-clsee):MemorylFileOverlayEnhanceTools.WindowMUMGJFIB#3Scroll(0000).匚#2Zoom4”，1=1（未处理前in洛式丄361理全卫士ENV1Zoom.全国矿in洛式丄361理

30、全卫士ENV1Zoom.全国矿F45源储呈FileOverlayEnhanceToolsWindow回蛇Scroll(0,40000)#2ZoomJ4.）把一些小斑点给合并了。.二ID.Anily:EndjuemLarCollectiolEMemorylMajortmclass.MhkLtmrM二ID.Anily:EndjuemLarCollectiolEMemorylMajortmclass.MhkLtmrMBMBMBMBMBMB=-=40000)n处理后3回S3甘*2Clump(tm-11as:Mem-Qiy21FileOverlayEnhanceTo-olsWindowJr

31、#3Scroll(O.-WOOD：(#3ZoomA.这两种都是定性的方式定量的方式（剔除）:AssicQClassColorsRoleClsEsifisrClassSt=at.LsticsCKangeDetecticsitStatisticsCanfnsionBla.trLK：HOCCurinesGenerateBanjosSmp-leajority/iiHorityAnalysi3ClnpCl匹匚电wChrerlayClashesBuffer工is鱼屋栏SegBentsihan.Ins耳里Clusificatitoe-ctor孚SieveParameter?:SelectGreenlJn草地

32、Git已已适EMasentalWhite&reen2Numherofit即selectel：&SelectAllIternsCLe：=LfAllIternsGroupMiTLThr已弓huldMuiTitwofOutputRheiL+toFilm怔Mhjrrujry填3是只小于一公顷的像元剔除掉回#4Scroll0.40000#4-Sieve(tm-dass)回#4Scroll0.40000#4-Sieve(tm-dass):MennoFy3FileOverlayEnhanceTookWindow#4Zoom4.=?*RuleClassifiexCcmfus;!onM-fttris:BDCCu

33、nresGai監r鲁朮普It呦述口m鼻ajwity/liEtrity屆XLjrsW詈CLmpClassesSieveClassesCMbicieCls：s5&s,ChreirltEjrdsissezBufferZoneIraage：SegRcntallwi.Intake分类统计Classificati分类统计的图像r；$#2MaxLike(can_tmr.img:tm-classI-:孚ComputeStatistiesParameters.IasicStatsHlt0硏sunsCor!ri：iiLpeOutputtoaStatLsticsPileOu+pizttoaTextFleportFi

34、leOKQlltjUt!CancelRnprirtFt-Mcisiotl.ClassStatisticsResults:can_tmrClassStatisticsResults:can_tmrmgClassStatisticsResults:can_tmrClassStatisticsResults:can_tmrmgFileOptions出图：1.出矢量图虽i盲ClassdlgxsiEnleClasEifierClassSt&tis-ticE：ChukeStatistissCoirEiisioiiHatrixKJCCmres氏監皿硝mSampleBsjfirity/BiMrityAnlys

35、isClwpClas.&ESieveClassesCbiEtOverlayOaksesBufferZoneInageClusificttticmt曲VsctrRasterIoVectorParamcte-r5RasterIoVectorParamcte-r5甥LoadVect.MMSelectWindowDisplay#1Displajr#2Display#3Di宴丄幻#4ITewVectorWindowOECancel22.22.AssigDtClassColorsEnleClassifierCla55StatisticsChd宕它tiartStktisticeCoilees;iohRsle.z:EDCCurvesGraLgrsitQBand!am5=mpl旦AnalysisClmibditssesSieve口四牙融22.22.ClassificationInputFileClassificationInputFileClassificationInputFileClassificationInputFile$已丄亡utInputFilm；|MEmorydi：&40蛊QO0訊1)FiXInturnition；McmdFygEQClstQClClstlM哙m