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Fusion on Airsar and TM Data for Variable Classification and Estimation in Dense and Hilly Forests

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dc.contributor.author Moghaddam, M. en_US
dc.contributor.author Dungan, J. en_US
dc.contributor.author Coughlan, J. en_US
dc.date.accessioned 2004-09-24T17:46:41Z
dc.date.available 2004-09-24T17:46:41Z
dc.date.issued 2000-01-26 en_US
dc.identifier.citation Fusion of Earth Data Conference en_US
dc.identifier.citation Ecole des Mines, Paris, France en_US
dc.identifier.clearanceno 99-1997 en_US
dc.identifier.uri http://hdl.handle.net/2014/18507
dc.description.abstract Radar and optical remote sensing data are used to develop a classification algorithm based on nonlinear estimation theory. en_US
dc.format.extent 339278 bytes
dc.format.mimetype application/pdf
dc.language.iso en_US
dc.subject.other Fusion classification estimation vegetation variables remote sensing en_US
dc.title Fusion on Airsar and TM Data for Variable Classification and Estimation in Dense and Hilly Forests en_US


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