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TerraSAR-X Big Data: The DLR Solutions for Data Mining

Datcu, Mihai (2013) TerraSAR-X Big Data: The DLR Solutions for Data Mining. In: Proceeding of 5th TerraSAR-X / 4th TanDEM-X Science Team Meeting. 5th TerraSAR-X Science Team Meeting, 10.-14. June 2013, Oberpfaffenhofen, Germany.

Full text not available from this repository.

Official URL: http://sss.terrasar-x.dlr.de/pdfs/ScienceMeeting2013_Abstracts/TSX_4-2_methods/2_datcu.pdf


Earth Observation (EO) data has increased significantly over the last decades with satellite and airborne remote sensing sensors collecting and transmitting to Earth receiving stations several terabytes of data a day. This is also the case with TerraSAR-X and TanDEM-X missions. This data acquisition rate is a major challenge to the existing data exploitation, dissemination used approaches for extracting information from these images. And, with plans for more EO systems the challenge is increasingly going to be how to enlarge the usability of the millions of images being stored in archives to a broader group of users. The presentation goal is two folded: it overviews the latest results obtained at DLR for very high resolution SAR image content extraction and presents the latest formalism and solutions to solve the challenge of accessing Big Data repositories. The methods of information retrieval are introduced and discussed. Particularly, the latest concepts of Image Information Mining for enhancing the performance of the PDGS are explained and exemplified. The methods have to be common to all application domains without the weakening effect of specializing it for specific, particular applications fields. The objective is re-formulating the definition of the “relevant information” in relation to the notions of “data content” and “context”. The presentation is introducing: the latest models and algorithms for SAR and InSAR feature extraction, the alternative of using the methods of Algorithmic Information Theory for parameter free SAR data interpretation, kernel methods for data classification, methods for SAR Image Time Series analysis, Visual Data Mining modules, and the overall new architecture for the PDGS including KDD and Data Mining functions.

Item URL in elib:https://elib.dlr.de/88986/
Document Type:Conference or Workshop Item (Speech)
Title:TerraSAR-X Big Data: The DLR Solutions for Data Mining
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Datcu, Mihaimihai.datcu (at) dlr.deUNSPECIFIED
Date:June 2013
Journal or Publication Title:Proceeding of 5th TerraSAR-X / 4th TanDEM-X Science Team Meeting
Refereed publication:No
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Keywords:TerraSAR-X, big data
Event Title:5th TerraSAR-X Science Team Meeting
Event Location:Oberpfaffenhofen, Germany
Event Type:Workshop
Event Dates:10.-14. June 2013
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
Deposited On:07 May 2014 11:12
Last Modified:20 May 2014 14:00

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