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Feature Extraction Techniques for Classification and Identification of Spectral Signatures.
RICE UNIV HOUSTON TEX DEPT OF ELECTRICAL ENGINEERING
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Some of the results obtained at Rice University on the extraction of features from spectral signatures for the purpose of classifying and identifying these signatures are described. Author
APPROVED FOR PUBLIC RELEASE