An Improved Atmospheric Correction Algorithm for Hyperspectral Remotely Sensed Imagery

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dc.contributor.authorLiang, Shunlin
dc.contributor.authorFang, Hongliang
dc.date.accessioned2007-02-28T20:59:25Z
dc.date.available2007-02-28T20:59:25Z
dc.date.issued2004-04
dc.description.abstractThere is an increased trend toward quantitative estimation of land surface variables from hyperspectral remote sensing. One challenging issue is retrieving surface reflectance spectra from observed radiance through atmospheric correction, most methods for which are intended to correct water vapor and other absorbing gases. In this letter, methods for correcting both aerosols and water vapor are explored. We first apply the cluster matching technique developed earlier for Landsat-7 ETM+ imagery to Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) data, then improve its aerosol estimation and incorporate a new method for estimating column water vapor content using the neural network technique. The improved algorithm is then used to correct Hyperion imagery. Case studies using AVIRIS and Hyperion images demonstrate that both the original and improved methods are very effective to remove heterogeneous atmospheric effects and recover surface reflectance spectra.en
dc.description.sponsorshipThis work was supported in part by the National Aeronautics and Space Administration under EO1 Grant NCC5462.en
dc.format.extent339892 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.citationLiang, S., H. Fang, (2004), An Improved Atmospheric Correction Algorithm for Hyperspectral Remotely Sensed Imagery. IEEE Geoscience and Remote Sensing Letters, 1(2):112-117en
dc.identifier.urihttp://hdl.handle.net/1903/4320
dc.language.isoen_USen
dc.publisherInstitute of Electrical and Electronics Engineersen
dc.relation.isAvailableAtCollege of Behavioral & Social Sciencesen_us
dc.relation.isAvailableAtGeographyen_us
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_us
dc.relation.isAvailableAtUniversity of Maryland (College Park, Md.)en_us
dc.rights.licenseCopyright Institute of Electrical and Electronics Engineers.en_us
dc.subjectAerosolen
dc.subjectAirborne Visible/Infrared Imaging Spectrometeren
dc.subjectAVIRISen
dc.subjectatmospheric correctionen
dc.subjectHyperionen
dc.subjecthyperspectralen
dc.subjectimaging spectroscopyen
dc.subjectremote sensingen
dc.subjectwater vaporen
dc.titleAn Improved Atmospheric Correction Algorithm for Hyperspectral Remotely Sensed Imageryen
dc.typeArticleen

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