Paper
18 December 2019 Hardware and software complex for monitoring oil pollution of sea aquatories
Author Affiliations +
Proceedings Volume 11208, 25th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics; 112084Q (2019) https://doi.org/10.1117/12.2540782
Event: XXV International Symposium, Atmospheric and Ocean Optics, Atmospheric Physics, 2019, Novosibirsk, Russian Federation
Abstract
A program for recognizing oil spill on the sea surface, based on an artificial intelligence element, was developed and tested on the example of real oil pollution in Peter the Great Bay for use on an unmanned aerial vehicle. The feature of the spectra of broadband radiation ascending from the sea surface is analyzed. It is concluded that the method of recording the spectra of the ascending radiation can be used to detect heavy oil fractions on the sea surface. A software algorithm for the formation of datasets of spectra of induced fluorescence of sea water containing various dissolved grades of petroleum products has been developed and tested. A machine learning procedure has been carried out to create a program element for classifying the type of oil hydrocarbons dissolved in seawater.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
O. A. Bukin, D. Yu. Proschenko, A. A. Chekhlenok, I. O. Bukin, D. A. Korovetskiy, S. S. Golik, A. Yu. Mayor, I. V. Sokolova, and A. V. Nadezhkin "Hardware and software complex for monitoring oil pollution of sea aquatories", Proc. SPIE 11208, 25th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 112084Q (18 December 2019); https://doi.org/10.1117/12.2540782
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KEYWORDS
Water

Unmanned aerial vehicles

Ocean optics

Software development

Artificial intelligence

Machine learning

Fluorescence spectroscopy

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