Optical neural net for classifying imaging spectrometer data
Applied Optics, Vol. 28, Issue 15, pp. 3129-3133 (1989)
http://dx.doi.org/10.1364/AO.28.003129
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Abstract
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.
© 1989 Optical Society of America
Citation
Etienne Barnard and David P. Casasent, "Optical neural net for classifying imaging spectrometer data," Appl. Opt. 28, 3129-3133 (1989)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-28-15-3129
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