Optical neural net for classifying imaging spectrometer data

A problem in surface mineralogy is addressed; namely, how does one determine the composition of a mixture from its spectrum? A neural net algorithm arises naturally, and we detail the state equations of this net. An optical architecture and simulation results are presented.

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Bibliographic Details
Published inApplied optics (2004) Vol. 28; no. 15; p. 3129
Main Authors Barnard, E, Casasent, D P
Format Journal Article
LanguageEnglish
Published United States 01.08.1989
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ISSN1559-128X
DOI10.1364/AO.28.003129

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Summary:A problem in surface mineralogy is addressed; namely, how does one determine the composition of a mixture from its spectrum? A neural net algorithm arises naturally, and we detail the state equations of this net. An optical architecture and simulation results are presented.
ISSN:1559-128X
DOI:10.1364/AO.28.003129