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Assimilation and processing of observation data obtained by satellite earth sensing for monitoring the current state of heterogeneous objects on the water surface

机译:通过卫星地球感测获得的观察数据的同化和处理,用于监测水面上异质物体的当前状态

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The study is devoted to the analysis of satellite observations data assimilation to discover the necessary information for developing and verifying mathematical models of hydrodynamics and biological shallowwater kinetics. The use of satellite earth sensing data is taken to enhance information base. The possible use of neural networks with optical flow computation is considered in the study. The objective of the study is to develop a software tool used to identify the initial conditions in mathematical modeling of hydrobilogical shallow-water processes.
机译:该研究致力于分析卫星观察数据同化,以发现用于开发和验证流体动力学和生物浅水动力学的数学模型的必要信息。使用卫星地球传感数据来增强信息库。在研究中考虑了具有光学流量计算的神经网络的可能使用。该研究的目的是开发一种用于识别辅助浅水过程数学建模中的初始条件的软件工具。

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