EO_1Hyperion高光谱数据的预处理

EO-1Hyperion谭炳香,李增元,陈尔学,庞勇(,100091):针对EO-1Hyperion高光谱遥感数据的特点,在图像质量检查的基础上,对Hyperion图像进行了未定标和受水汽影响波段的去除坏线修复条纹去除Smile效应降低大气纠正等预处理,获得了较好质量的图像,为图像的进一步分析和实际应用提供了保障结果表明图像大气纠正后光谱优化处理能进一步提高图像的质量:高光谱;遥感;EO-1;Hyperion;大气纠正:P237.3:A:1000-3177(2005)82-0036-061EO-1(EarthObserving-1)NASA21Landsat7,20001121EO-1Landsat7,,705km,98.7b,Landsat750km,Landsat7EO-13,ALI(AdvancedLandImager)AC(AtmosphericCorrector)Hyperion1EO-1Landsat7[1~2],EO-1Hyperion,NASA,EO-1HyperionEO-1Hyperion,,EO-1Hyperion,Hyperion2000(180km@7.5km),1.48/1EO-1Landsat7km2,,EO-1HyperionHyperion,EO-1Hyperion2HyperionHyperion-(VNIR,400~1000nm)(SWIR,900~2500nm)Hyperion:Level0Level1,L0,L1L1,1[4]1HyperionL1356~2577(nm)24230(m)256@6460VNIR1~70(356~1058nm)SWIR71~242(852~2577nm)2BILByteOrderNetwork(IEEE)800,427,520(bytes)HyperionL1,:HierarchicalDataFormat(HDF),BILHyperionL1L1AL1BL1R2002L1AL1BTRW,L1RUSGSL1AL1BL1RL1AVNIRSWIR,L1BL1RVNIRSWIR,L1R:2005-03-10:2005-07-07:863/0(:2002AA133050):(1966~),,,,,:36遥感信息2005.6L1242,1~70(VNIR),71~242(SWIR),198,VNIR8~57,SWIR77~224VNIR56~57SWIR77~78,1960Hy-perionHyperionL1L0,L1,,,,[5]3HyperionHyperion2,Hyper-ion2Hyperion3.1Hyperion5:¹,;ºDN,;»DN,;¼,/Smile0;½,,Hyperion,T.Han[5]HyperionL0L1,L0L1,L1L0,Hyperion,VNIRSWIR,,CCD3.23.2.1Hyperion242,VNIR8~57,SWIR77~224,0,1~758~76225~242198VNIR56~57SWIR77~78,196,SWIR77~78VNIR56~57,VNIR56~57,SWIR77~78,196,8~5779~224,1356~1417nm1820~1932nm2395nm,,,Hype-rion,:121~127167~178224,20,176,:8~5779~120128~166179~223232HyperionHyperion(nm)1~7355~41658~78936~923121~1271356~1426167~1781820~1931224~2402395~25773HyperionHyperion(nm)8~57426~92679~120933~1346128~1661427~1810179~2231942~2385:1763.2.2HyperionL1,,-32767~+32767,,VNIR750W/m2/sr/Lm,SWIR350W/m2/sr/Lm,,,VNIRSWIR4080[4]Hyperion,,VNIR40,,SWIR80,;,,3.2.3,HyperionL1,176Hype-rion,,4,,33.2.4Hyperion,CCD,Hyperion,,SWIRDN,372005.6遥感信息176,Hyper-ionVRIN,;SWIR,4VNIR57SWIR100,4Hyperion8-91,6,68,11477-22425610-111,6,114,199949212-261,114999127-2847,11411613729-351,114119-120239321,114124246391771907,112200-20173SWIR(1084nm)4HyperionVNIR(925nm)SWIR(1144nm)3.2.4.1Hyperion/0:mikKi,sikKi,miksik/0KiAik,Bik,Kijxijk:xcijk=Aikxijk+Bik:Aik=sik/sikBik=mik-Aikmik,/0,:mik=mk,sik=sk:mkK,skKKmksk,45,5HyperionVNIR(925nm)SWIR(1144nm)3.2.4.2-MNF(MNF,MinimumNoiseFractionRota-tion),,:,,MNFHyperionMNF,MNF113(6),MNF113,MNF1133.2.5SmileHyperionSmile,Smile,VNIRSWIR[2],VNIR2.6nm~3.6nm,SWIR0.40nm~0.97nm,781nm,VNIR,,,Smile38遥感信息2005.66MNF1(A)MNF13(B)MNF1(C)MNF13(D)7VNIR8SWIR13222946144196(Landsat-7ETM),/Smile055VNIRSmile,SWIR5HyperionSmileHyperion(nm)13476.27473.93477.373.4422568.05565.76569.053.2929639.45637.19640.373.1846812.84810.66813.552.891441588.421587.881588.490.611962113.042112.582113.140.563.2.5.1SmileSmile,Smile?MNF,SmileHyperion,SmileMNFSmile,MNF[7]VNIRSWIRMNF,MNF,VRINMNF1,SWIRMNF1(9)9HyperionVNIRSWIRMNF1(AB)Smile(762nm)Hyperion,VNIR40(752nm)VNIR42(772nm)762nm,(10A),,VNIRSmile3.2.5.2SmileSmile,Smile[8]DavidG.Goodenough[7]392005.6遥感信息Smile:(1)MovingLinearFittingandInterpolation;(2)ColumnMeanAdjustedinMNFSpace;(3)ColumnMeanAdjustedinMNFSpace.,,Smile10VNIR40VNIR42Smile(A)(B)Smile,:¹MNF1;ºSmile[7]11VNIRSmileMNF1(A)(B),SmileMNF13.2.5,,,,,,,,,,,,,[6]11VNIRMNF1Smile(A)(B),ACORNFLAASH,EO-1HyperionEO-1HyperionAtmo-sphericCORrectionNow(ACORN),12Hyperion,,,,,,,,MNF/0,[6],HyperionVNIRSWIRMNF,12Hyperion40遥感信息2005.6MNFMNF,20VNIRSWIRMNFMNF,MNF20VNIRSWIRMNF,13,133.2.61:5,,Hyperion,,,15,0.49,30@30m4,,,,,,,;,,,,Hyperion,,,1.-121[J].,2001(8).2P.Barry,EO-1/HyperionScienceDataUser.sGuide[R].RedondoBeach,CA:TRWSpace,Defense&Inform.Syst.,2001.3://eo1.usgs.gov&[A].ProceedingsofIGARSS[C].vol.III,Toronto,ON,Canada,2002.1327~1330.6Datt,B.,McVicar,T.R.,VanNiel,T.G.,Jupp,D.L.B.andPearlman,J.S..Pre-processingEO-1hyperionhyperspectraldatatosup-porttheapplicationofagriculturalindices[J].IEEETransactionsonGeoscienceandRemoteSensing,2003,41(6):1246~1259.7DavidG.Goodenoungh,AndrewDyk,etc.ProcessinghyperionandALIforforestclassification[J].IEEETransactionsonGeoscienceandRe-moteSensing,2003,41(6):1321~1331.8BisunDatt&DavidJupp,2004.Hyperiondataprocessingworkshop:Hands-onprocessinginstruction,CSIROEarthObservationCentre.PreprocessingofEO-1HyperionHyperspectralDataTANBing-xiang¹,LIZeng-yuan¹,CHENEr-xue¹,PANGYong¹(¹Inst.ofForestResourcesInformationTechnique,ChineseAcademyofForestry,Beijing100091,China)Abstract:EO-1csHyperionsensorprovidesanewclassofearthobservationdataforimprovedEarthsurfacecharacterization.Hyperionacquiresdatainpushbroommodewithtwospectrometers,oneinthevisibleandnearinfrared(VNIR)rangeandanotherintheshort-waveinfrared(SWIR)range.Althoughdatahasbeenradiometriclycorrected,butpreprocessingofHyperiondataisrequiredbeforeanalysis.ThepreprocessingforHyperiondataincludes:(1)Removeofzeroedbandsandstrongestwatervapourbands;(2)Re-cal-ibration,becausethedatawerescaledby40fortheVRINand80fortheSWIR;(3)Fixingofbadpixels;(4)Removeofdarkv