乌克兰NAS流体力学研究所研究盆地水面温度异常模拟结果

O. Fedorovsky, V. Filimonov, I. Piestova, S. Dugin, V. Yakymchuk, A. Khizhnyak, K. Sukhanov
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引用次数: 1

摘要

本文介绍了自然和人为原因引起的水面温度异常的研究和物理模拟结果。本研究的资料来自乌克兰国家科学院流体力学研究所的实验池,以自行式模型作为水动力过程的发生器。图像处理后获得的信息可以极大地扩展现有的关于油气沉积物和移动淹没物的水动力扰动下开放表面异常形成机制的观点。烃类矿床与运动的水下物体之间存在着许多共同之处,即出现的水动力扰动与近地表水层的相互作用以及在开阔海面上出现的揭掩温度异常。通过计算“熵”值,应用上述结构和纹理参数的差异作为解码含有油气沉积物或运动沉物的水面图像的信息特征。温度异常的解码包括两个阶段:学习和正确解码。第一阶段是监督学习,在此期间,系统正在使用现有的图像集进行研究,其中只有背景,没有碳氢化合物沉积物或移动的水下物体。进行训练是为了确定属于背景沉积物或碳氢化合物的移动淹没物的迹象。确定背景熵值最小,随着异常的出现,熵值增长到最大值,之后随着温度迹线的消散,熵值开始下降到背景值。这证实了熵特征在从航空照片中解码海面人为和自然来源光学异常方面的信息性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Result of modeling temperature anomalies on the water surface of the research basin of the institute of hydromechanics NAS of Ukraine
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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