Processing and assimilation of observation data obtained by satellite sensing for monitoring the current state of heterogeneous objects on the water surface
Abstract
Processing and assimilation of observation data obtained by satellite sensing for monitoring the current state of heterogeneous objects on the water surface
Incoming article date: 02.12.2020The 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 shallow-water 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. The article illustrates the relevance of applying the observational data processing from satellite earth sensing. There are considered the necessity and possibility of using the neural network approach with the optical flow computation in solving problems of information processing from gray-scale snapshots.
Keywords: mathematical modeling, shallow water body, satellite sensing data, neural network, contour, image processing