Vol. 32, issue 04, article # 11

Bukin O. A., Proschenko D. Yu., Chеkhlеnok A. A., Korovetskiy D. A. Techniques for optical monitoring of oil pollution of sea waters with the use of unmanned aerial vehicles. // Optika Atmosfery i Okeana. 2019. V. 32. No. 04. P. 324–328. DOI: 10.15372/AOO20190411 [in Russian].
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Abstract:

The results of creation of new techniques and technical means that allow the use of small-sized unmanned aerial vehicles (UAVs) in environmental monitoring of marine areas according to the MARPOL 73/78 international convention requirements are presented. The hard- and software complex developed for an oil spill recognition system with elements of artificial intelligence is described. The results of laboratory experiments on the identification of oil spills by the laser induced fluorescence (LIF) along with the technique for recording upward solar radiation spectrum are given.

Keywords:

environmental monitoring, artificial intelligence, machine learning, laser-induced fluorescence, spectroscopy, UAVs

References:

   1.  Press Releases [Electronic resource] // Oceana. URL: https://eu.oceana.org/en/press-center/press-releases/every-six-minutes-illegal-hydrocarbon-dumping-incident-takes-place (last access: 18.12.2018).
   2. Julian M. MARPOL 73/78: the International Convention for the Prevention of Pollution from Ships. Maritime Studies. 2000. Р. 16–23.
   3. The dumping of hydrocarbons from ships into the seas and ocean of eurone [Electronic resource] // Oceana. URL: https://oceana.org / reports / dumping-hydrocarbons-ships-seas-and-oceans-europe-other-side-oil-slicks (last access: 18.12.2018).
   4. Leifer I., Lehr B., Simecek-Beatty D., Bradley E., Clark R. State of the art satellite and airborne oil spill remote sensing: Application to the BP DeepWater Horizon oil spill // Remote Sens. Environ. 2012. V. 124. P. 185–209.
   5. Bukin O.A., Proschenko D.Yu., Chekhlenok A.A., Golik S.S., Bukin I.O., Mayor A.Yu., Yurchik V.F. Laser Spectroscopic Sensors for the Development of Anthropomorphic Robot Sensitivity // Sensors. 2018. V. 18, N 6. P. 1680.
   6. Bukin O.A., Mayor A.Yu., Proschenko D.Y., Bukin I.O., Bolotov V.V., Chekhlenok A.A., Mun S.A. Laser spectroscopy methods in the development of laser sensor elements for underwater robotics // Atmos. Ocean. Opt. 2017. V. 30, N 5. P. 475–480.
   7. American Petroleum Institute [Electronic resource]. URL: http://www.oilspillprevention.org/~/media/oil-spill-prevention / spillprevention/r-and-d/oil-sensing-and- tracking/1144-e1-final.pdf (last access: 3.01.2018).
   8. Bonn Agreement [Electronic resource]. URL: https://www.bonnagreement.org/site/assets/files/1081/aerial_operations_handbook.pdf (last access: 18.12.2018).
   9. Neftyanoe pyatno s nejroset'yu [Elektronnyj resurs] // YouTube. URL: https://youtu.be/DlYfUyZmWM8 (data obrashcheniya: 4.02.2018).
10. LProSoft [Electronic resource]. URL: http://lprosoft.at.ua/load/1-1-0-4—lpSquarev5.0 forWindows (last access: 18.12.2018).