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Journal of Automation and Information Sciences

Impact factor: 0.024

ISSN Print: 1064-2315
ISSN Online: 2163-9337

Volumes:
Volume 49, 2017 Volume 48, 2016 Volume 47, 2015 Volume 46, 2014 Volume 45, 2013 Volume 44, 2012 Volume 43, 2011 Volume 42, 2010 Volume 41, 2009 Volume 40, 2008 Volume 39, 2007 Volume 38, 2006 Volume 37, 2005 Volume 36, 2004 Volume 35, 2003 Volume 34, 2002 Volume 33, 2001 Volume 32, 2000 Volume 31, 1999 Volume 30, 1998 Volume 29, 1997 Volume 28, 1996

Journal of Automation and Information Sciences

DOI: 10.1615/JAutomatInfScien.v48.i5.40
pages 42-54

Land Cover Changes Analysis Based on Deep Machine Learning Technique

Nataliya N. Kussul
Institute of Space Research of National Academy of Sciences of Ukraine and State Space Agency of Ukraine, Kiev, Ukraine
Nikolay S. Lavreniuk
Institute of Space Research of National Academy of Sciences of Ukraine and State Space Agency of Ukraine, Kiev
Andrey Yu. Shelestov
National University of Life and Environmental Sciences of Ukraine, Kiev
Bogdan Ya. Yailymov
Institute of Space Research of National Academy of Sciences of Ukraine and State Space Agency of Ukraine, Kiev
Igor N. Butko
National Center of Space Facilities Control and Test of State Space Agency of Ukraine, Kiev

ABSTRACT

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.