实验六 遥感影像分类

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1、实验六多光谱遥感影像分类[实验目的]：掌握常规的多光谱遥感影像分类操作及其处理。比较非监督分类法和监督分类法的结果，二者之间的优缺点。这些分类处理包括聚合处理（clump）、筛选处理（sieve）、并类处理（combine），以及精度评估。[实验内容]：1.多光谱影像分类的几种方法，并比较之间的区别；2.图像分类的后期处理；[实验准备]：数据：文件夹envidata/can_tmFileDescriptioncan_tmr.imgBoulderColoradoTMReflectancecan_tmr.hdrENVIHeaderforAb

2、ovecan_km.imgKMEANSClassificationcan_km.hdrENVIHeaderforAbovecan_iso.imgISODATAClassificationcan_iso.hdrENVIHeaderforAboveclasses.roiRegionsofInterest(ROI)forSupervisedClassificationcan_pcls.imgParallelepipedClassificationcan_pcls.hdrENVIHeaderforAbovecan_bin.imgBinaryEn

3、codingResultcan_bin.hdrENVIHeaderforAbovecan_sam.imgSAMClassificationResultcan_sam.hdrENVIHeaderforAbovecan_rul.imgRuleimageforSAMclassificationcan_rul.hdrENVIHeaderforAbovecan_sv.imgSievedImagecan_sv.hdrENVIHeaderforAbovecan_clmp.imgClumpofsievedimagecan_clmp.hdrENVIHea

4、derforAbovecan_comb.imgCombinedClassesimage3can_comb.hdrENVIHeaderforAbovecan_ovr.imgClassesoverlainongrayscaleimagecan_ovr.hdrENVIHeaderforAbovecan_v1.evfVectorlayergeneratedfromclass#1can_v2.evfVectorlayergeneratedfromclass#2[实验步骤]：1.打开并显示can_tmr（LandsatTM）彩色432，影像特征分析

5、Usethedisplayedcolorimageasaguidetoclassification.Thisimageistheequivalentofafalsecolorinfraredphotograph.Eveninasimplethree-bandimage,it’seasytoseethatthereareareasthathavesimilarspectralcharacteristics.Brightredareasontheimagerepresenthighinfraredreflectance,usuallycor

6、respondingtohealthyvegetation,eitherundercultivation,oralongrivers.Slightlydarkerredareastypicallyrepresentnativevegetation,inthiscaseinslightlymoreruggedterrain,primarilycorrespondingtoconiferoustrees.Severaldistinctgeologicandurbanizationclassesarealsoreadilyapparentas

7、isurbanization.2.光标位置/值1)SelectTools→CursorLocation/ValuefromtheMainImagewindowmenubar.Alternatively,double-clicktheleftmousebuttonintheimagedisplaytotoggletheCursorLocation/Valuedialogonandoff.2)Movethecursoraroundtheimageandexaminethedatavaluesinthedialogforspecificloc

8、ations.Alsonotetherelationbetweenimagecoloranddatavalue.3)SelectFiles→CancelintheCursorLocation/Valuedi