Information techniques of deep machine learning for the analysis of land cover changes
DOI:
https://doi.org/10.15407/dopovidi2016.08.026Keywords:
big data, deep learning, land cover changes, neural network modelsAbstract
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.
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