DEPARTMENTS > BIG EARTH DATA ANALYTICS > INFORMATION-EXTRACTION

Information extraction

Information extraction refers to techniques such as data mining, machine learning and semantic annotation to extract actionable knowledge hidden in EO data. It is often used with general analytical methods for the exploitation of the information contained in Time Series satellite images. The main focus is on the information extraction in the form of “categories of evolution” and elaboration of technologies to classify the evolutions processes of observed scenes.

information extraction sector
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This project has received funding from the Government of the Republic of Cyprus through the “Directorate General for European Programmes, Coordination and and Development”.
This project has received funding from the European Union’s “Horizon 2020 Research and Innovation Programme” under Grant Agreement No 857510”.
This project is co-funded by the Cyprus University of Technology.
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