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Semi-Automated Semantic Annotation of Big Archives of High Resolution SAR Images

Dumitru, Corneliu Octavian and Schwarz, Gottfried and Cui, Shiyong and Espinoza Molina, Daniela and Datcu, Mihai (2016) Semi-Automated Semantic Annotation of Big Archives of High Resolution SAR Images. In: Proceedings of the European Conference on Synthetic Aperture Radar (EUSAR) 2016, pp. 1-4. VDE Verlag. EUSAR 2016, 6-9 June 2016, Hamburg, Germany.

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Official URL: https://conference.vde.com/eusar/2016/Pages/default.aspx


We demonstrate how to achieve a semi-automated and rapid semantic annotation of high resolution SAR image patches in the case of big image archives. To this end, we start with an already existing annotated satellite image data set and a validated multi-level annotation scheme aimed at semi-automated land cover and urban scene labeling. Our goals are mainly achieved by pre-defined patch cutting, feature extraction from image patches, and a cascaded active learning approach where unnecessary processing steps are skipped. This concept allows us to adapt the classification/annotation quality of a knowledge discovery in databases system to the actual user requirements. In addition, an easily understandable visualization of the retrieved results can be obtained by interactive graphical data mining, by the generation of map products, or by data analytics tools providing mainly statistical results and graphics.

Item URL in elib:https://elib.dlr.de/104521/
Document Type:Conference or Workshop Item (Speech)
Title:Semi-Automated Semantic Annotation of Big Archives of High Resolution SAR Images
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Dumitru, Corneliu OctavianCorneliu.Dumitru (at) dlr.deUNSPECIFIED
Schwarz, GottfriedGottfried.Schwarz (at) dlr.deUNSPECIFIED
Cui, ShiyongShiyong.Cui (at) dlr.deUNSPECIFIED
Espinoza Molina, DanielaDaniela.EspinozaMolina (at) dlr.deUNSPECIFIED
Datcu, MihaiMihai.Datcu (at) dlr.deUNSPECIFIED
Journal or Publication Title:Proceedings of the European Conference on Synthetic Aperture Radar (EUSAR) 2016
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 1-4
Publisher:VDE Verlag
Keywords:Data mining, semantic annotation, TerraSAR-X
Event Title:EUSAR 2016
Event Location:Hamburg, Germany
Event Type:international Conference
Event Dates:6-9 June 2016
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Dumitru, Corneliu Octavian
Deposited On:03 Jun 2016 10:34
Last Modified:09 Dec 2016 16:07

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