1、單擊fileOpenImageFile打開圖像，我的是TM7波段圖像，加載5、4、3波段。根據lay選樣本，OverLayRegionOfInteresting森林灌木、草地裸地耕地沙地其他（如水體、陰影之類的）4宿#1(K:TMBarfed5r4宿#1(K:TMBarfed5rG:TMBand4rB:TMBand一4|FileOverlayEnhanceToolsWindow選樣本在Zoon放大窗口里選，這樣可以選的更精確一些。#11#11File3*1(R:TMBand5rG:TMBand4,B:TMBand3):j=回FileOv音卄目yErrhanegTooI&WindowWind.0

2、1|New#1Scroll(0.4)00中盤I#1Zoom陽三左鍵下點，右鍵結束因光譜值有差異，不在同一片地方選樣本回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再在另一片地方選一下樣本: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-回書1Z：J-回書1Z：oom7了範(R:TMBand5rG:TMSand4fB:TMBand3):c3nJmr.iTngFileOverlayEnhanceTools.Window*1Scroll(O.MOOO)c=正常情況下是通過別的方式選樣本，如：野外調查或波峰影像上選樣本，本次因條件限制就直接在圖上選了。選的差不多了，就選第二種灌木、草地樣本，點選法樣直至六類的NewRegion按鈕，都選完樣本選完后驗證樣本對不對，靜不精確#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后出現的下來菜單，選倒數第二個ComputeROISeparabilityROISeparabiityReport*1(R;TVBand5rG;TMBand4;0rFileROI_TypeOption5HelpTF

6、ilsOverlayEnhaneeTool點擊后出現上面的對話框，選擇我所要分類的圖像，單擊“0K”。出現下面的對話框:SelectInputFileforROISeparabilityROISeparabiityReportROISeparabiityReport，點擊SelectAllIterm選擇全部的可分離性的ROISeparabiityReportROISeparabiityReport樣本，然后點擊“OK”，出來下表: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)懇木、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在這個表里，凡是最后的那個數

13、值大于1.8的就說明符合要求，由此看出第一個是不符合要求的，應該是選的時候有問題（估計主要問題是灌木沒有選好），按要求有問題就應該重新選，不過灌木和森林容易混淆，不容易選對，就不再重新選樣本了。只列出修改方法：回Qf*1ROITocl在上面的對話框里選擇森林,回Qf*1ROITocl在上面的對話框里選擇森林,然后點擊Goto,瀏覽每一個樣本，將不好的樣本刪掉，再重新選一遍，然后再重新計算,直到達到要求為止。上面是定量的評價，還有一個是定性的看：單擊File，然后點擊ExportROIstoVisualizer會出現n-DVisualizerInput尺OkSelectIn.putRCIeCji

14、-eenlJ131衛oints、草地GrEen391pointsMaen七汪1524jo1nteWhite164pointsreen219jiditltmELuq143pointsSeisctAllItemsffuniberofit&msselected：ClearAllItSeisctAllItemsffuniberofit&msselected：ClearAllIt，也是一樣全選，點，也是一樣全選，點對話框，OECancel，然后點擊“OK”，出現擊“OK”出現n-D可視化,然后點擊1、2、3、45、6，全選后，單擊Start,會出現一動態變化的樣本聚類情況，在此只截一張圖F?n-DVsu

15、alizeryr+ikuiiooFileROLTypeOpfioHelpEDIHimCblor?LXaIe耳191漁木i草地IjTEeiiO91|!裸地524PiVhLti164!n-DCantirukfinder:廣5吐耽|宀Scroll回nD!aLSojids123456Speed.10目Vibv(5/25Start|Step4|-/|弟File匸IseeOptions定性的看樣本是否選的好，就看那個樣本集中的程度，越高代表樣本越好。F面就可以分類了:點擊主菜單的ClassificationSupervisedMaximumLikelihood（最大似然發），出現SupervisedI.1

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

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

18、mLikelihoodMaximumLikelihoodParametersMaximumLikelihoodMaximumLikelihoodParametersOECQueueCancelHelpPreviewMaximumLikelihoodMaximumLikelihoodParametersMaximumLikelihoodMaximumLikelihoodParameters按著Shift全選樣本，給輸出分類文件命名并選擇存儲位置，然后點擊OK輸出，可用波段列表里會多出一個如圖，在其上右鍵然后單擊LoadBandtoNewDisplay在新窗口加載分類圖像如下：回回#2Scroll

19、(0.40000)S3143points-2.00000000Q#2Zoom4.=對分類圖的后后處理（改名字、改顏色、分類后處理）:單擊OverlayClassificationSllcr;GridLines疊加分類圖1(R:T1Band5G:Tl.JBand匕F訂mOverlayEnhanceToolsWindowAniLutatim選擇分類文件點OK,勾選樣本前面的On可以疊加相應的分類，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電気M：ergeasses.屹電亠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選擇每一個分類，然后去掉后面的像素數，修改完畢點OK,然后單擊，選擇第二個即將選Edi，選擇第二個即將選Edi擇的類別并到其他類別里面去，出現下面的對話框,選Zoom，在On前面勾選即被歸并的類別，點擊顏色即要歸并入的類別，然后在Zoom里左鍵畫線，單擊第一次一次右鍵閉合選擇某一區域，再單擊一次右鍵及可把此區域分錯類別才分類并入另一類別里變回成了草地如：錯分成林地的草地變回成了草地其他的分類后處理：1精度印證：用混合矩陣*1ROTool*1ROTool精度印證樣本怎么來的：野外調查，在google上看那個是什么

22、東西）出來對話框SelectGrijuiniTruthROIS51hC+匚lassificatinnImageUnclazsifiedGroundTruthEDIkdd.CunitiRatLunWhiteGreen2BlueSelectGrijuiniTruthROIS51hC+匚lassificatinnImageUnclazsifiedGroundTruthEDIkdd.CunitiRatLunWhiteGreen2Blue麓木、草地filamentalGreen-：!JOKICancelI選擇分類圖像，點OK,樣本，右邊是選擇樣本，匹配分類后左邊是印證OK,點OK,出來下面的矩陣表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掛它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潘軟魄卞揀上也MagemtaTotalGroundTruth襪地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其運灌木-草地0.DO0.000.?01.100.DO0.000.DO0.0099.200.000.DO98.90D.cm10000100.00oo_uDoooooooo_uDooooooiPerzent)Total.0D.1.34.00ClassUnclasaified褓襪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蠱木、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-灌豐、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*)后處理（出去小碎點）:.孑Cla5Eif匚呂tionInpirtFile點OK,(Majority的點OK,合并的越多；Minority很少用）點0K,結果為回SI回r：#3MajorityAnalysis(tm-cl合并的越多；Minority很少用）點0K,結果為回SI回r：#3MajorityAnalysis(tm-clsee):MemorylFileOverlayEnhanceTools.WindowMUMGJFIB#3Scroll(0000).匚#2Zoom4”，1=1（未處理前in洛式丄361理全衛士ENV1Zoom.全國礦in洛式丄361理

30、全衛士ENV1Zoom.全國礦F45源儲呈FileOverlayEnhanceToolsWindow回蛇Scroll(0,40000)#2ZoomJ4.）把一些小斑點給合并了。.二ID.Anily:EndjuemLarCollectiolEMemorylMajortmclass.MhkLtmrM二ID.Anily:EndjuemLarCollectiolEMemorylMajortmclass.MhkLtmrMBMBMBMBMBMB=-=40000)n處理后3回S3甘*2Clump(tm-11as:Mem-Qiy21FileOverlayEnhanceTo-olsWindowJr

31、#3Scroll(O.-WOOD：(#3ZoomA.這兩種都是定性的方式定量的方式（剔除）:AssicQClassColorsRoleClsEsifisrClassSt=at.LsticsCKangeDetecticsitStatisticsCanfnsionBla.trLK：HOCCurinesGenerateBanjosSmp-leajority/iiHorityAnalysi3ClnpCl匹匚電wChrerlayClashesBuffer工is魚屋欄SegBentsihan.Ins耳里Clusificatitoe-ctor孚SieveParameter?:SelectGreenlJn草地

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

33、nresGai監r魯朮普It呦述口m鼻ajwity/liEtrity屆XLjrsW詈CLmpClassesSieveClassesCMbicieCls：s5&s,ChreirltEjrdsissezBufferZoneIraage：SegRcntallwi.Intake分類統計Classificati分類統計的圖像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出圖：1.出矢量圖雖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蠱QO0訊1)FiXInturnition；McmdFygEQClstQClClstlM噲m