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Immersive Interactive Information Mining with Application to Earth Observation Data Retrieval

Babaee, Mohammadreza and Rigoll, Gerald and Datcu, Mihai (2013) Immersive Interactive Information Mining with Application to Earth Observation Data Retrieval. In: Availability, Reliability, and Security in Information Systems and HCI, 8127, pp. 376-386. Springer. International Cross Domain Conference and Workshop (CD-ARES 2013), 2.-6. Sep. 2013, Regensburg, Germany. ISBN 978-3-642-40511-2 (E) 978-3-642-40510-5 (P) ISSN doi: 10.1007/978-3-642-40511-2_27

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Official URL: http://link.springer.com/chapter/10.1007%2F978-3-642-40511-2_27#

Abstract

The exponentially increasing amount of Earth Observation (EO) data requires novel approaches for data mining and exploration. Visual analytic systems have made valuable contribution in understanding the structure of data by providing humans with visual perception of data. However, these systems have limitations in dealing with large-scale high-dimensional data. For instance, the limitation in dimension of the display screen prevents visualizing high-dimensional data points. In this paper, we propose a virtual reality based visual analytic system, so called Immersive Information Mining, to enable knowledge discovery from the EO archive. In this system, Dimension Reduction (DR) techniques are applied to high-dimensional data to map into a lower-dimensional space to be visualized in an immersive 3D virtual environment. In such a system, users are able to navigate within the data volume to get visual perception. Moreover, they can manipulate the data and provide feedback for other processing steps to improve the performance of data mining system.

Item URL in elib:https://elib.dlr.de/88825/
Document Type:Conference or Workshop Item (Speech)
Title:Immersive Interactive Information Mining with Application to Earth Observation Data Retrieval
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Babaee, MohammadrezaTU MunichUNSPECIFIED
Rigoll, GeraldTU MunichUNSPECIFIED
Datcu, Mihaimihai.datcu (at) dlr.deUNSPECIFIED
Date:2013
Journal or Publication Title:Availability, Reliability, and Security in Information Systems and HCI
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Volume:8127
Page Range:pp. 376-386
Editors:
EditorsEmail
Cuzzocrea, A.UNSPECIFIED
Kittl, C.UNSPECIFIED
Simos, D. E.UNSPECIFIED
Weippl, E.UNSPECIFIED
Publisher:Springer
Series Name:Lecture Notes in Computer Science
ISSN:doi: 10.1007/978-3-642-40511-2_27
ISBN:978-3-642-40511-2 (E) 978-3-642-40510-5 (P)
Status:Published
Keywords:EO data
Event Title:International Cross Domain Conference and Workshop (CD-ARES 2013)
Event Location:Regensburg, Germany
Event Type:international Conference
Event Dates:2.-6. Sep. 2013
Organizer:ARES
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 By:INVALID USER
Deposited On:14 Apr 2014 14:50
Last Modified:31 Jul 2019 19:46

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