RT Journal Article ID 65b009c12d82a029 A1 Kussul, Nataliya N. A1 Lavreniuk , Nikolay S. A1 Shelestov, Andrey Yu. A1 Yailymov, Bogdan Ya. A1 Butko , Igor N. T1 Land Cover Changes Analysis Based on Deep Machine Learning Technique JF Journal of Automation and Information Sciences JO JAI(S) YR 2016 FD 2016-08-01 VO 48 IS 5 SP 42 OP 54 K1 land cover changes analysis K1 large volumes satellite and spatial data K1 deep machine learning technique K1 neural network approach K1 geospatial analysis methods K1 Ukraine territory mapping AB The methodology for solving the problem of processing of large amount of remote sensing data is proposed. The hierarchical structure of the model of deep learning method is based on neural network approach and geospatial analysis methods. This methodology was applied for high resolution land cover change mapping for Ukraine territory from 1990 to 2010. The efficiency of this approach was shown for non-arable agricultural area and changes analysis, particularly, in the eastern regions during the occupation period. PB Begell House LK https://www.dl.begellhouse.com/journals/2b6239406278e43e,4d0a8c2e515f2efd,65b009c12d82a029.html