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Babaee, Mohammadreza and Yu, Xuejie and Datcu, Mihai (2014) Immersive Visual Analytic of Earth Observation Data. In: Proceedings of the 2014 Conference on Big Data from Space (BiDS'14), pp. 381-384. Publications Office of the European Union. Big Data from Space - BiDS'14, 2014-11-12 - 2014-11-14, Frascati, Italien. doi: 10.2788/1823. ISBN 978-92-79-43252-1. ISSN 1831-9424.
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Official URL: http://dx.doi.org/10.2788/1823
Abstract
New trends in exploration and visualization are highly demanded in dealing with the massive amount of collected Earth Observation (EO) data. In this work, we propose an immersive visual analytic of EO data utilizing Virtual Reality technology. Precisely, we introduce the visualization of large scale SAR images in an immersive 3D environment and also introduce an interactive learning algorithm for the data clustering using Nonnegative Matrix Factorization framework. We conduct our experiments on a dataset of SAR images represented by different features and show that the proposed interactive clustering outperforms the others.
| Item URL in elib: | https://elib.dlr.de/94231/ | ||||||||||||||||
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| Document Type: | Conference or Workshop Item (Speech) | ||||||||||||||||
| Title: | Immersive Visual Analytic of Earth Observation Data | ||||||||||||||||
| Authors: |
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| Date: | 2014 | ||||||||||||||||
| Journal or Publication Title: | Proceedings of the 2014 Conference on Big Data from Space (BiDS'14) | ||||||||||||||||
| Refereed publication: | Yes | ||||||||||||||||
| Open Access: | No | ||||||||||||||||
| Gold Open Access: | No | ||||||||||||||||
| In SCOPUS: | No | ||||||||||||||||
| In ISI Web of Science: | No | ||||||||||||||||
| DOI: | 10.2788/1823 | ||||||||||||||||
| Page Range: | pp. 381-384 | ||||||||||||||||
| Editors: |
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| Publisher: | Publications Office of the European Union | ||||||||||||||||
| ISSN: | 1831-9424 | ||||||||||||||||
| ISBN: | 978-92-79-43252-1 | ||||||||||||||||
| Status: | Published | ||||||||||||||||
| Keywords: | Immersive, Visual analytic, Matrix factorization, Convex hull, Clustering | ||||||||||||||||
| Event Title: | Big Data from Space - BiDS'14 | ||||||||||||||||
| Event Location: | Frascati, Italien | ||||||||||||||||
| Event Type: | international Conference | ||||||||||||||||
| Event Start Date: | 12 November 2014 | ||||||||||||||||
| Event End Date: | 14 November 2014 | ||||||||||||||||
| Organizer: | European Commission, Joint Research Centre | ||||||||||||||||
| 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: | INVALID USER | ||||||||||||||||
| Deposited On: | 07 Jan 2015 16:03 | ||||||||||||||||
| Last Modified: | 24 Apr 2024 20:00 |
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