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The application of support vector machines to analysis of global satellite data sets from MlSR

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dc.contributor.author Garay, Michael J.
dc.contributor.author Mazzoni, Dominic
dc.contributor.author Davies, Roger
dc.contributor.author Diner, David J.
dc.date.accessioned 2006-07-20T17:34:09Z
dc.date.available 2006-07-20T17:34:09Z
dc.date.issued 2005-01-11
dc.identifier.citation Fourth Conference on Artificial Intelligence, San Diego, California, January 11-15, 2005. en
dc.identifier.clearanceno Fourth Conference on Artificial Intelligence, San Diego, California, January 11-15, 2005.
dc.identifier.clearanceno 04-3728
dc.identifier.uri http://hdl.handle.net/2014/39543
dc.description.abstract The Multi-angle Imaging Spectro Radiometer (MISR) is one of a suite of five instruments onboard NASA's Terra EOS satellite, launched in December 1999. Typical satellite imagers view the earth from a single direction, but MISR's cameras image the earth simultaneously from nine different directions in four spectral bands. In this way, MISR provides unique multiangle information about solar radiation scattered from clouds, aerosols and other terrestrial surfaces. One of the primary goals of the MISR mission is to improve our understanding of how clouds and aerosols affect the earth's global energy balance en
dc.description.sponsorship NASA/JPL en
dc.format.extent 1411302 bytes
dc.format.mimetype application/pdf
dc.language.iso en_US en
dc.publisher Pasadena, CA : Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2005. en
dc.subject Multiangle Imaging Spectroradiometer (MISR) en
dc.subject support vector machines en
dc.subject cloud detection en
dc.subject aerosol dectection en
dc.title The application of support vector machines to analysis of global satellite data sets from MlSR en
dc.type Preprint en


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