ThalaSAR | Automated detection and classification of mid-range oceanographic phenomena in synthetic aperture radar satellite imagery (2012-2015)
The research project was related to the study of medium-scale oceanographic phenomena (eg areas with low wind intensity, rainfall areas, internal waves, and oceanic eddies) on synthetic aperture radar (SAR) data. During the project, an automated methodology was developed for the identification, detection, and classification of oceanographic phenomena in SAR satellite telescopic imaging. In addition, the characteristics of oceanographic phenomena in satellite imagery were examined in parallel with their physical interpretation, and the similarities and differences between the characteristics were identified. Each oceanographic phenomenon was examined through “object-oriented” analysis, i.e. based on entities – objects and not based on pixels. The methodology produced worked satisfactorily in locating the phenomena.
Partners: University of the Aegean
Funding: General Secretariat for Research and Technology