Techniques for optical monitoring of oil pollution of sea waters with the use of unmanned aerial vehicles
O.A. Bukin1, D.Yu. Proschenko1,2, A.A. Chekhlenok1, D.A. Korovetskiy1
1Admiral G.I. Nevelskoy Maritime State University, Vladivostok, Verkhneportovaya street, Building 50a, 690059, Russia
2Far Eastern Federal University, 8, Suhanova St., Vladivostok, 690950, Russia
Keywords: экологический мониторинг, искусственный интеллект, машинное обучение, лазерная индуцированная флуоресценция, спектроскопия, МБПЛА, environmental monitoring, artificial intelligence, machine learning, laser-induced fluorescence, spectroscopy, UAVs
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.
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