The volume of earth observation data has increased in recent years, and more and more remote sensing imagery is available today. On one hand, the amount of remote sensing data is constantly growing due to the rise of very-high-resolution sensors and short repeat cycle satellites. Thanks to programs like Landsat or Sentinel, many free imagery products are available. In addition, community-based geographic information gathering systems are expanding each in existing geospatial data bases: the OpenStreetMap initiative is a well-known example. Regarding this amount of geospatial data, tackling complexity in earth observation information extraction is rising as a major and exciting challenge.
Deep learning is a growing trend in big data ...
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