Information techniques of deep machine learning for the analysis of land cover changes

TitleInformation techniques of deep machine learning for the analysis of land cover changes
Publication TypeJournal Article
Year of Publication2016
AuthorsKussul, NN, Shelestov, AYu., Lavreniuk, MS, Butko, IN
Abbreviated Key TitleDopov. Nac. akad. nauk Ukr.
DOI10.15407/dopovidi2016.08.026
Issue8
SectionInformation Science and Cybernetics
Pagination26-32
Date Published8/2016
LanguageRussian
Abstract

The paper proposes a method and an information technique for the geospatial analysis of land cover changes from long-term satellite observations. Since it is a big data problem, we propose a deep machine learning method for its solution, which is based on a hierarchical neural network model. The method allows solving the wide range of applied problems of the analysis of land cover changes and land use.
Keywordsbig data, deep learning, land cover changes, neural network models
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