EO-QMiner: Stream Mining Models for Earth Observation

Several methods will be analysed during evaluation of streaming learning models (see chapter: Streaming machine learning in Part B). Activities will result in a set of learning models to be incorporated into EO-QMiner. Integration between PerceptiveSentinel platform and EO-QMiner is essential integrative part of the platform, enabling: - data exchange in both ways (platform providing learning/interpretation data, EO-QMiner providing interpreted data) - workflow control of EO-QMiner (by platform) - administrative control of EO-QMiner (by platform) EO-QMiner integration layer will provide JSI's part of integration capabilities. Code from JSI’s open-source repository QMiner will be used to construct EO-QMiner. Certain level of new development is envisaged in the areas: - adaptation to streaming processing and - incorporation of new learning technologies. Integration and functionality testing will be performed by JSI to eliminate bugs and validate integration into PerceptiveSentinel platform.