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Correcting EO-1 Hyperion Data for Atmospheric Attenuation
Journal: International Journal of Engineering Research (IJER) (Vol.7, No. 3)Publication Date: 2018-03-09
Authors : Hasmukh J. Chauhan;
Page : 603-606
Keywords : IAR-InternalAverageReflectance; ELMEmpiricalLineMethod; MODTRANMODerateresolutionatmosphericTRANsmission; FLAASHFast Line-of-sightAtmospheric Analysisof SpectralHypercube.;
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Abstract
The process, which transforms the data from spectral radiance to spectral reflectance, is knownasatmosphericcorrection,compensation,orremoval.Hy perionimagesaretherich sourceofinformation containedinhundredsnarrowcontiguous spectralbands.Thereare numberofatmosphericagentswhichcontaminatethecontentofv ariousbandsinformation. TogetthecompleteadvantageofHyperiondataitisrequiredtoappl yatmosphericcorrection sothattheinfluenceofatmosphereontheEarthobservationdatac anberemoved.Primary typeincludescenebasedandradiationtransmissionmodelbased algorithms.Majorscene basedalgorithmsareIARandELM.MODTRANisverypopulara ndeffectiveatmospheric transmissionmodelfor correctingmutispectralandhyperspectraldata.MODTRANbas ed FLAASH algorithmsavailable inENVIareveryeffective forHyperion dataatmospheric correction.InthispaperIAR,ELMandFLAASHavailablein ENVIhasbeenappliedfor atmospherecorrectionofHyperiondataandcomparativeanalysi siscarriedout.
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Last modified: 2018-07-30 17:10:16