UDC 519-7/339.9
1 Slovak Technical University, Bratislava, Slovakia
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2 National University of Life and Environmental Sciences of Ukraine, Kyiv, Ukraine
 vkhilenko@ukr.net
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3 National University of Life and Environmental Sciences of Ukraine, Kyiv, Ukraine
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4 Slovak Technical University, Bratislava, Slovakia
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APPLICATION OF DECOMPOSITION ALGORITHMS TO SPEED UP PROCESSING
OF LARGE DATA SETS IN GIS
Abstract. The authors propose a technology and a decomposition algorithm for speeding up the processing
of geoinformation data based on the division of dynamic and quasi-static data samples using the analysis
of eigenvalues of matrices obtained by means of iterative calculation by the Khilenko method.
The algorithm is aimed at processing large geoinformation data arrays.
Comparative results of the model calculations using known computational methods are presented.
Keywords: geoinformation data, satellite image processing, big data, decomposition, iterative calculation of matrix eigenvalues, Khilenko’s method.
FULL TEXT
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