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PIMS: Knowledge based Image Information Mining providing new functionalities in the TerraSAR Ground Segment System

Datcu, Mihai and Schwarz, Gottfried and Kiemle, Stephan and de Miguel, Amaia and Colapicchioni, Andrea and Rosati, Claudio and Galoppo, Annalisa and Valente, Achille and Harms, Patrick and Bilgin, Bahir and D’Elia, Sergio and Iapaolo, Michele and Seidel, Klaus (2007) PIMS: Knowledge based Image Information Mining providing new functionalities in the TerraSAR Ground Segment System. In: 2007 PV Conference Proceedings, pp. 1-5. Ensuring Long-term Preservation and Adding Value to Scientific and Technical Data, 2007-10-09 - 2007-10-11, Oberpfaffenhofen, Germany. ISBN 978-3-00-022548-2.


Official URL: http://pv2007.dlr.de/main/results_en.htm


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.

Item URL in elib:https://elib.dlr.de/52184/
Document Type:Conference or Workshop Item (Paper, Poster)
Title:PIMS: Knowledge based Image Information Mining providing new functionalities in the TerraSAR Ground Segment System
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Colapicchioni, AndreaAdvanced Computer Systems A.C.S. S.p.A.UNSPECIFIED
Rosati, ClaudioAdvanced Computer Systems A.C.S. S.p.A.UNSPECIFIED
Galoppo, AnnalisaAdvanced Computer Systems A.C.S. S.p.A.UNSPECIFIED
Valente, AchilleAdvanced Computer Systems A.C.S. S.p.A.UNSPECIFIED
Harms, PatrickWerum Software & Systems AGUNSPECIFIED
Bilgin, BahirWerum Software & Systems AGUNSPECIFIED
Seidel, KlausETH ZürichUNSPECIFIED
Date:October 2007
Journal or Publication Title:2007 PV Conference Proceedings
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 1-5
EditorsEmailEditor's ORCID iD
Keywords:DIMS, Image Information Mining, KEO, KIM, SSE
Event Title:Ensuring Long-term Preservation and Adding Value to Scientific and Technical Data
Event Location:Oberpfaffenhofen, Germany
Event Type:international Conference
Event Dates:2007-10-09 - 2007-10-11
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W EO - Erdbeobachtung
DLR - Research area:Space
DLR - Program:W EO - Erdbeobachtung
DLR - Research theme (Project):W - Projekt TerraSAR-X Nutzlastbodensegment (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Information Technology
Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Kiemle, Stephan
Deposited On:29 Jan 2008
Last Modified:31 Jul 2019 19:21

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