PIMS: Knowledge based Image Information Mining providing new functionalities in the TerraSAR Ground Segment System
2007
The paper presents the architecture and new functionalities implemented for the
TerraSAR-X ground segment system by the synergy of DIMS (DLR’s Data and
Information Management System) and KIM (Knowledge based Image Information
Mining system). In the spirit of the KEO (Knowledge Centred EO) concept, this system
aims at simplifying the access to, and therefore expanding the use of multi-mission EO
data. This achievement comes from the use of emerging technologies for Image
Information Mining (IIM), which enables also the selection of images via their content,
and for simplified service publication, provision and chaining, as implemented in the
ESA Service Support Environment (SSE). PIMS is interfaced with the Service Support
Environment SSE on one end and with DIMS on the other. PIMS provides to SSE
compliant Web Services to be easily accessed though its operational portal. These
services externalize some of the functionalities provided by the PIMS system itself. In
this way, PIMS is tailored to develop new services (modules) some of which could be
“plugged” in the KEO architecture. Moreover, to be able to process data to get valuable
information and services, PIMS will be fed by external data sources represented by either
the DLR Ground Segment facility, as for instance TerraSAR-X or a third-party user
machine for those end-users interested in using ingestion and processing services offered
by the system. Therefore, the system provides a Machine Interface View, which will
externalize the provision of services like data ingestion, data processing and catalogue
access. Being a KEO component-based system, based on a SOA, the PIMS components
are web services, in order to be orchestrated by the KEO workflow manager. Also PIMS
takes into account the possibility to be manned by human operators; hence it provides a
GUI to be used by end-users for a certain number of PIMS specific tasks.
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