9th Conference on Image Information Mining: The Sentinels Era

Event Organisers: 

Romanian Space Agency (ROSA)


Image Information Mining Coordination Group (IIMCG)
Geoscience and Remote Sensing Society (GRSS)

Venue City: 



Romanian Space Agency (ROSA)


05/03/2014 to 07/03/2014

Registration Deadline: 

Friday, November 1, 2013

Language of event: 



Earth Observation (EO) data has increased significantly over the last decades with sensors collecting terabytes of data per day. Meanwhile, the advent of sub-meter resolution Optical and Synthetic Aperture Radar (SAR) sensors brought new dimensions to application areas with the consequence that the observed details has grown dramatically. Moreover, decades of EO image time series will be continued in the future describing land cover and/or scene evolution and dynamics.

The forthcoming Copernicus programme will further change our view over data availability ensuring up to 2020 the long-term, regular observation and monitoring of the atmosphere, oceans, and continental surfaces, providing reliable, validated and guaranteed information to support a broad range of environmental and security applications and decisions. The Sentinels missions will not only be a driver for economic growth, encouraging small and medium-sized enterprises to develop user-driven services they will as well set the challenge for research and development activities on how to augment the usability of the millions of images and EO products being collected to a larger and larger group of end user applications.


Earth observation data sets are growing in size and variety at an exceptionally fast rate, posing challenges and opportunities for their access, archiving and exploitation. Data and images information mining can play a crucial role in this context. The main topics addressed by the conference are: image information mining and indexing models, multi-sensor and multi-temporal information extraction, automatic semantic annotation, ontologies and semantic web, database management systems and visualization tools, learning paradigms for very large data sets, spatio-temporal search engines, human-machine communication, knowledge discovery in databases.

The main target audience includes the European space agencies and organisations, aerospace industry and research centres, research and academic institutions, commercial companies, value adders or service providers involved in any of above areas.

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