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Solar Feature Catalogue

 

 

Welcome to the European Grid of Solar Observations (EGSO)
Bradford University Research Group (Work Package 5, WP5)

 

A major hurdle in the analysis of solar data is finding what data are available and retrieving those that are needed. Planned space- and ground-based instruments will produce huge volumes of data and even taking into account the continuous technical advances, it is clear that a new approach is needed to the way we use these data.

The EGSO is a Grid test-bed that will change the way users analyze solar data. EGSO will federate solar data archives across Europe and beyond, and will create the tools to select, process and retrieve distributed and heterogeneous solar data. It will provide mechanisms to produce standardized observing catalogues for space and ground-based observations, and the tools to create solar feature catalogues that will facilitate the selection of solar data based on features, events and phenomena. In  EGSO will provide the fabric of a virtual observatory. EGSO is funded under the IST (Information Society Technologies) thematic programme of European Commission's Fifth Framework Programme (FP5). The project started in March 2002 and will last for 3 years. The EGSO consortium comprises 10 institutes from Europe and the US, and is led by the Mullard Space Science Laboratory (MSSL) of University College London (UCL).


 

The Cybernetics Solar Physics Research Group attended the 35th Scientific Assembly of COSPAR held at the Palais des Congres (Paris Congress Center) in Paris, July 2004.


 

 

 

 

 

 

10-th International Conference on Knowledge-Based Intelligent Information & Engineering Systems

(KES2006)

Special Session

Feature Recognition in Astrophysical and Bio-medical Images

and Classification from Large Datasets

 Organised by

Prof.V.V. Zharkova (Bradford University)

and Dr.Jie Zhang ( George Mason University, US)

 

 

8th International Conference on Knowledge-Based Intelligent Information & Engineering Systems (KES2004)

Intelligent Feature Recognition & Classification on Astrophysical and medical Images Session

 

 

Download a C based Windows application with some Solar Image processing features

 

Download the book chapters here


http://counter.digits.com/wc/-d/4/EGSObrad2

Department of Computing and Mathematics
School of Informatics
University of Bradford
Richmond Road, Bradford, West Yorkshire, BD7 1DP, UK
Departmental Enquiries Tel: +44 (0)1274 234028
University Enquiries Tel: +44 (0)1274 232323

 

Page last updated: Thursday, 12/14/2007 3:57 PM

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