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Proceedings Paper

Application of neural networks to fluorescent diagnostics of organic pollution in water
Author(s): Yuri N. Orlov; I. G. Persiantsev; S. P. Rebrik; Sergey M. Babichenko
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Paper Abstract

Rapid diagnosis of pollution is one of the key tasks in the field of ecological monitoring of natural and technogeneous environment. One of the promising methods of fluorescent diagnosis of organic pollution of water environment is the registration and analysis of 2D spectral fluorescent signatures (SFS). The neural networks-based system suggested in this paper is intended for solving the problem of detection, identification, and concentration measurement of water environmental pollution. The suggested system uses SFS as input pattern and allows one to build a rapid diagnosis system for ecological monitoring.

Paper Details

Date Published: 21 September 1995
PDF: 7 pages
Proc. SPIE 2503, Air Toxics and Water Monitoring, (21 September 1995); doi: 10.1117/12.221093
Show Author Affiliations
Yuri N. Orlov, Moscow State Univ. (Russia)
I. G. Persiantsev, Moscow State Univ. (Russia)
S. P. Rebrik, Moscow State Univ. (Russia)
Sergey M. Babichenko, Institute of Ecology (Estonia)


Published in SPIE Proceedings Vol. 2503:
Air Toxics and Water Monitoring
George M. Russwurm, Editor(s)

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