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Data Mining and Knowledge Discovery for the TerraSAR-X Payload Ground Segment

Espinoza-Molina, Daniela and Manilici, Vlad and Cui, Shiyong and Reck, Christoph and Hofmann, Mathias and Dumitru, Corneliu Octavian and Schwarz, Gottfried and Rotzoll, Henry and Datcu, Mihai (2015) Data Mining and Knowledge Discovery for the TerraSAR-X Payload Ground Segment. PV 2015, 03-05 Nov 2015, Darmstadt, Germany.

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Official URL: http://www.eumetsat.int/website/home/News/ConferencesandEvents/DAT_2447480.html

Abstract

Earth Observation (EO) imaging satellites continuously acquire huge volumes of high resolution scenes thus increasing the size of image archives and the variety and complexity of EO image content. Therefore, new methodologies and tools that allow the end-user to access large image repositories, to dynamically find and retrieve collections of desired images, and to extract and infer knowledge about the patterns hidden in the image archives are required. In this context, this paper presents the Earth Observation Image Librarian (EOLib), which is a modular system offering data mining and knowledge discovery functionality for the TerraSAR-X Payload Ground Segment and is serving to setup the next generation of Image Information Mining (IIM) systems. It implements novel techniques for image content exploration and exploitation. The main goal of EOLib is to create a communication channel between Payload Ground Segments and the end-user who receives the image content enriched with annotations and metadata as well as coded data in an understandable format associated with semantic categories being ready for immediate exploitation. EOLib is composed of several components offering new functionality such as ingestion and feature extraction from SAR images, metadata extraction, semantic definition of the image content based on machine learning and data mining methods, advanced querying of the image archives utilizing data content, metadata and semantic categories, as well as 3D visualization of the huge and complex image archives. EOLib will be interfaced to and operated in DLR’s Multi-Mission Payload Ground Segment (PGS) of the Remote Sensing Data Center at Oberpfaffenhofen, representing at the same time a general new concept for the operations of Ground Segment infrastructures.

Item URL in elib:https://elib.dlr.de/100355/
Document Type:Conference or Workshop Item (Speech)
Title:Data Mining and Knowledge Discovery for the TerraSAR-X Payload Ground Segment
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Espinoza-Molina, Danieladaniela.espinozamolina (at) dlr.deUNSPECIFIED
Manilici, VladVlad.Manilici (at) dlr.deUNSPECIFIED
Cui, Shiyongshiyong.cui (at) dlr.deUNSPECIFIED
Reck, Christophchristoph.reck (at) dlr.deUNSPECIFIED
Hofmann, Mathiasmathias.hofmann (at) dlr.deUNSPECIFIED
Dumitru, Corneliu Octaviancorneliu.dumitru (at) dlr.deUNSPECIFIED
Schwarz, Gottfriedgottfried.schwarz (at) dlr.deUNSPECIFIED
Rotzoll, Henryhenry.rotzoll (at) dlr.deUNSPECIFIED
Datcu, Mihaimihai.datcu (at) dlr.deUNSPECIFIED
Date:2015
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Satellite images, ground segment, data mining, knowledge discovery, TerraSAR-X
Event Title:PV 2015
Event Location:Darmstadt, Germany
Event Type:international Conference
Event Dates:03-05 Nov 2015
Organizer:EUMETSAT
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
German Remote Sensing Data Center > Information Technology
Deposited By: Schwarz, Gottfried
Deposited On:04 Dec 2015 08:50
Last Modified:10 May 2016 23:37

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