RESULTS OF MODELING TEMPERATURE ANOMALIES ON THE WATER SURFACE OF THE RESEARCH BASIN OF THE INSTITUTE OF HYDROMECHANICS NAS OF UKRAINE

  • О. Д. Федоровський ДУ “Науковий центр аерокосмічних досліджень Землі Інституту геологічних наук НАН України”, Київ, Україна
  • В. Ю. Філімонов Інститут гідромеханіки НАН України, Київ, Україна
  • І. О. Пєстова ДУ “Науковий центр аерокосмічних досліджень Землі Інституту геологічних наук НАН України”, Київ, Україна
  • С. С. Дугін ДУ “Науковий центр аерокосмічних досліджень Землі Інституту геологічних наук НАН України”, Київ, Україна
  • В. Г. Якимчук ДУ “Науковий центр аерокосмічних досліджень Землі Інституту геологічних наук НАН України”, Київ, Україна
  • А. В. Хижняк ДУ “Науковий центр аерокосмічних досліджень Землі Інституту геологічних наук НАН України”, Київ, Україна
  • К. Ю. Суханов ДУ “Науковий центр аерокосмічних досліджень Землі Інституту геологічних наук НАН України”, Київ, Україна

Abstract

The results of the research and physical modeling of temperature anomalies of natural or man-made origin on the water surface are presented.  The information for the research was obtained from the experimental basin of the Institute of Hydromechanics of the National Academy of Sciences of Ukraine from the self-propelled model as the generator of hydrodynamic processes. The information obtained after image processing allowed to significantly expand the existing ideas about the mechanism of formation of anomalies on the open surface with the hydrodynamic disturbances from hydrocarbon deposits and moving submerged object. The interaction of the emerging hydrodynamic disturbances with the near-surface water layer and the occurrence of unmasking temperature anomalies on the open sea surface have a lot in common between the hydrocarbon deposits and the moving submerged object. The application of the difference of the above structural and textural parameters by calculating the value of "entropy" has been proposed as the informative feature for decoding the images of the water surface with the presence of hydrocarbon deposits or moving immersed objects. The decoding of temperature anomalies consists of two stages: learning and proper decoding. The first stage is the supervised learning , during which the system is being researched using the existing set of images, in which only the background and no hydrocarbon deposits or moving submerged object. Training is carried out in order to determine the signs of belonging to the background or hydrocarbon deposits, moving submerged object. It was determined that the background has minimal entropy values, and with the appearance of an anomaly, the entropy grows to the maximum value, after which, as the temperature trace dissipates, it begins to fall to background values. This confirms the informativity of the entropy feature for decoding the optical anomalies of man-made and natural origin on the sea surface from aerial photos.

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Section
Earth observation data applications: Challenges and tasks