EARSeL eProceedings Vol. 3, No. 3, 298-305, 2004
Sergei A.Burikov, Irina V. Churina, Sergei A. Dolenko, Tatiana A. Dolenko and Victor V. Fadeev
Abstract
Citation EARSeL European Association of Remote Sensing Laboratories, Paris, France BIS-Verlag
Laser Raman
spectroscopy can be an effective method for simultaneous determination of temperature
and salinity of nature waters. In this paper, a new way of processing spectra
is suggested. Artificial neural networks are applied to solve the two-parameter
inverse problem of determining temperature and salinity using the shape of the
valence band of liquid water Raman scattering. Two approaches are used:
training the neural network on experimental data and on model data. The errors
of simultaneous determination of temperature and salinity are calculated; the
ways of reducing these errors are specified.
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History
Submitted: 12 June 2003
Revised: 05 May 2004
Accepted: 26 June 2004
Burikov S A, I V Churina, S A Dolenko, T A Dolenko & V V Fadeev, 2004. New approaches to determination of temperature and salinity of seawater by laser Raman spectroscopy. EARSeL eProceedings 3(3), 298-305
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