JPL Technical Report Server

Neural Network for Analysis of Hyperspectral Imagery

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dc.contributor.author Toomarian, N. B. en_US
dc.contributor.author Kohen, H. en_US
dc.contributor.author Gat, N. en_US
dc.date.accessioned 2004-09-24T20:17:04Z
dc.date.available 2004-09-24T20:17:04Z
dc.date.issued 1998-03-11 en_US
dc.identifier.citation International Conference on Neural Networks and their Applications en_US
dc.identifier.citation Marseilles, France en_US
dc.identifier.clearanceno 98-0283 en_US
dc.identifier.uri http://hdl.handle.net/2014/19080
dc.description.abstract Each material has unique spectral distribution that can be viewed as its fingerprint. Advanced hyper and ultra spectral sensors will produce large amount of data. Therefore, advanced capabilities are required that can effectively deal with large data cubes, possibly in real time. en_US
dc.format.extent 737375 bytes
dc.format.mimetype application/pdf
dc.language.iso en_US
dc.subject.other hyperspectral imagery neural network en_US
dc.title Neural Network for Analysis of Hyperspectral Imagery en_US


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