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Efficient Algorithms for Atmospheric Correction of Remotely Sensed Data

dc.contributor.authorFallah-Adl, Hassanen_US
dc.contributor.authorJaJa, Josephen_US
dc.contributor.authorLiang, Shunlinen_US
dc.contributor.authorKaufman, Yoram J.en_US
dc.contributor.authorTownshend, Johnen_US
dc.description.abstractRemotely sensed imagery has been used for developing and validating vairous studies regarding land cover dynamics such as global carbon modeling, biogeochemical cycling, hydrological modeling, and ecosystem response modeling. However, the large amounts of imagery collected by the satellites are largely contaminated by the effects of atmospheric particles through absorption and scattering of the radiation from the earth surface. The objective of atmospheric correction is to retrieve the surface reflectance (that characterizes the surface properties) from remotely sensed imagery by removing the atmospheric effects. Atmospheric correction has been shown to significantly improve the accuracy of image classification. (Also cross-referenced as UMIACS-TR-95-53)en_US
dc.format.extent2922727 bytes
dc.relation.ispartofseriesUM Computer Science Department; CS-TR-3464en_US
dc.relation.ispartofseriesUMIACS; UMIACS-TR-95-53en_US
dc.titleEfficient Algorithms for Atmospheric Correction of Remotely Sensed Dataen_US
dc.typeTechnical Reporten_US
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_US
dc.relation.isAvailableAtUniversity of Maryland (College Park, Md.)en_US
dc.relation.isAvailableAtTech Reports in Computer Science and Engineeringen_US
dc.relation.isAvailableAtUMIACS Technical Reportsen_US

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