Statistics – Applications
Scientific paper
Sep 2004
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2004esasp.553e..24m&link_type=abstract
Proceedings of ESA-EUSC 2004 - Theory and Applications of Knowledge-Driven Image Information Mining with Focus on Earth Observa
Statistics
Applications
Scientific paper
This paper describes the new integration platform GEOHARP (Geographic harmonizing Platform) for data interconnectivity. This platform is meant to integrate Geographical Databases, which are located at different operational facilities, and serve different users segments independently. Therefore GEOHARP facilitates an higher level of information sharing and integration, allowing the user to access a broader base of data not necessarily coherent in terms of geographical projection datum, and semantic. The significance of coherent layers of geographical data is particularly important in the context of objects reconnaissance based on high and very high resolution satellite data. The implementation of GEOHARP requires a comprehensive analysis of the existing archiving systems, spanning from commercially available to customized ones. The general architecture of GEOHARP will be shown, together with some key functionalities that allow to generate high quality raster images and vector data overlays. The main features of GEOHARP are online projection conversion algorithms and semantic integration between databases, witch are not invasive while accessing to the different platforms involved in the integration. Part of the discussion will pivot around: a) the quality of this interoperation platform which grant an high integration level; and b) the potential uses in a Region Based Information Retrieving approach.
Abbattista C.
Cosmai M.
Manunta P.
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