遙感圖像處理圖像變換

1、圖像變換實(shí)驗(yàn)報(bào)告一.內(nèi)容?快速傅里葉變換?主成分分析基本操作?代數(shù)運(yùn)算?彩色變換二.目的在理解原理基礎(chǔ)上，熟悉熟練圖像的幾種常用變換操作步驟三.實(shí)驗(yàn)過程傅里葉變換1.打開ENVI5.0,并導(dǎo)入CJ_spot遙感影像。圖1:原始影像2.進(jìn)行傅里葉變換操作川阜ClassificationTransformFifrerjSpectralMapVectorTopographiFilterDefinitionInverseFFT圖2:圖像的傅里葉變換kitiratinnTnrui+nrnnFillerSpprtralMspVprtarTopngraphi圖3:設(shè)定濾波器圖4:選擇阻斷濾波器圖5:自定義多

2、邊形濾波器圖6:繪制自定義濾波器后的圖像kClassificationTranstorm|filterSpectralMapVectorIopograph圖7:逆變換ConvuljiiwiiidtidMorpholDy/iextureAdaptiveFlFTFilteringForiAdidFFTFitpDpfiniTionInverseFFT圖8:波段列表窗口注解:HV FFT 仃盯(Bitid l：eK2Ll-piu :(TJ pod ; Il1D fr LB enonZ 10 Di ft 氏n&d Cit Filter耳 13 Mnoryl 1!fT (Krsi ze CEkirui 1

3、tl)CJ spg!is 13-官定.匕w;皮目m骷像Tse率域匡健一南始國量圖9:FFT變換后影像圖10:變換前后影像對比拓展練習(xí)11:濾波器12:濾波器13:濾波器#1FiIterDefinition圖14:對于濾波器3修改邊界像素值。利用上述方法進(jìn)行FFT變換，并使RG為原始圖像的數(shù)據(jù)。B分別為flf4,產(chǎn)生四個(gè)不同的彩色圖像。主成分分析圖15:主成分變換菜單圖16:王成分刖向變換參數(shù)2EigenvalueNlitiber672COv13口2345e7SandNjmber昵1=1StatT一/Flrn=niLt；.D山_ok，最后始梟，夷勉數(shù)明y.alt3百Dins:FullScene(

4、3bDLUODciats)特證值Sand2Band3Band4Bandn6-31cO1O11221X1日口二i匚StotaBand1Band2Band3Daud4Band5日ar.d白Daud7Ssm-O957-53002545M2122212Mcaij8?20788133054647439032EQ47327G157633HB12372S3-1225640100abdcv647170149608959.42DOOGLI.02DG13ZZ0?B210333999013C04643Eigenvalue7m417731G5205934S7119429.2730176.15D9D1471231OO；

5、6G2CovarianceBand1in圖18:主成分統(tǒng)計(jì)結(jié)果圖19:選擇特征值子集QSelectOuipuiPCBarick圖20:特征值及累計(jì)貢獻(xiàn)率TrnsfcrmFiterSpectralMapVectorTopographicRadarWineIiiidqeSlidipniriLjBandRatios|FirKip日ICompQnengForwardPCRotdtioniru/er三己PCRoimtioFIndependentComponents圖21:主成分逆變換菜單圖22:主成分變換前圖25:代數(shù)運(yùn)算對話框圖23:主成分變換后代數(shù)運(yùn)算1）整體增強(qiáng)圖像的亮度|日444T口Transf

6、ormFiResizeData(Spotlal/Spectral)SubsetDataviaROIsRotarc/FlipDstaLayerStackingConvertDsta(RQ.BTI,EIP)StretchDdt靠StatisticSpdtialStatisticsChangeDelectionMedsureinerit1oolIpjndMaihIspectralMath圖24 :代數(shù)運(yùn)算選擇界面SegmentationImage圖26:代數(shù)運(yùn)算后圖像2）利用ENVI功能計(jì)算NDVI圖27:NDWI生成界面WindowProfilesPolarization SignaturesRe

7、gion OfimerestENVI Color 1 ablestDensity Wlice.JControl RGB Image Planes.Class Color Mapping.圖28 :對生心Ma即ingCursorLocatiorVValue.PixelLocatorPointCollection.成圖像進(jìn)行密度分割29:分級數(shù)為3圖30:密度分割后遙感影像圖32:不同格3）利用代數(shù)表達(dá)式計(jì)算NDVI。Bdrid Mdtli ORC-nEHein1圖31:輸入NDVI表達(dá)式日SMemcryS*nEandlathCtflat(b3)/(b4)+float(h8)iQMemoryU口B

8、andKath(float(b4-b3)ffioai(b4+b3)臼SMemory3.Hand任百th(b4-bG)/(M+b2)日爵AAP口Band1nEanl2口Rsnrl3*Tir卜式下的EDVI公式圖24:不同表達(dá)式ENVI后遙感影像比較比較這三種表達(dá)式下的計(jì)算結(jié)果，會(huì)發(fā)現(xiàn)（b3-b4）/（b3+b4結(jié)果較好彩色變換米圖25:將多光譜圖像重采樣為15圖26:選擇RGB俞入為543圖27:選擇全色波段為高分辨率數(shù)據(jù)將（5,4,3）進(jìn)行RGB&成顯示，窗口為#1,并對scroll窗口進(jìn)行圖像的均衡化。然后，點(diǎn)擊上述菜單，選擇#1作為輸入圖30:使用圖像數(shù)據(jù)作為輸入.圖31:均衡化拉伸后輸出

9、圖32:彩色正變換選擇窗口RGB to HLSRGB to HISV (USGS Munsell)彩色正變換IlnrIFlt-=rpArtvlFflnDC9”aphRairV/1n1nHfIiTidgeSlidiptminqBdndRdtiuiPrincipalComponentsIndependentCompon白ntwMNFRotationlLcdq1qrforms1DecorrelationStretchPhotographicStretch圖33:彩色正變換前圖34:彩色正變換后色逆變換選擇窗口彩色逆變換mjyc Sharpcf lingBandPrincipal CrmponntsIn de pendent ComponentsMNRoQtion| Cui4T u匕f口中in* |Vector Topographic Rada r Window H圖35:彩DecorrelationStretchPhotographicStretchSatiJratii-onStretchSyntJwticColorIiridgeNDV1Tass