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Immersive Visualization of SAR Images Using Nonnegative Matrix Factorization

Babaee, Mohammadreza and Tsoukalas, Stefanos and Schenk, Simon and Rigoll, Gerhard and Datcu, Mihai (2014) Immersive Visualization of SAR Images Using Nonnegative Matrix Factorization. In: Proceedings of the 2014 Conference on Big Data from Space (BiDS'14), pp. 385-388. Publications Office of the European Union. Big Data from Space - BiDS'14, 12.-14.11.2014, Frascati, Italien. DOI: 10.2788/1823 ISBN 978-92-79-43252-1 ISSN 1831-9424

Full text not available from this repository.

Official URL: http://dx.doi.org/10.2788/1823

Abstract

Interactive visual data mining, where the user plays a key role in learning process, has gained high attention in data mining and human-machine communication. However, this approach needs Dimensionality Reduction (DR) techniques to visualize image collections. Although the main focus of DR techniques lays on preserving the structure of the data, the occlusion of images and inefficient usage of display space are their two main drawbacks. In this work, we propose to use Non-negative Matrix Factorization (NMF) to reduce the dimensionality of images for immersive visualization. The proposed method aims to preserve the structure of data and at the same time reduce the occlusion between images by defining regularization terms for NMF. Experimental validations performed on two sets of image collections show the efficiency of the proposed method in respect to controlling the trade-off between structure preserving and less occluded visualization.

Item URL in elib:https://elib.dlr.de/94233/
Document Type:Conference or Workshop Item (Speech)
Title:Immersive Visualization of SAR Images Using Nonnegative Matrix Factorization
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Babaee, MohammadrezaTechnical University Munich, GermanyUNSPECIFIED
Tsoukalas, StefanosTechnical University Munich, GermanyUNSPECIFIED
Schenk, SimonTechnical University Munich, GermanyUNSPECIFIED
Rigoll, GerhardTechnical University Munich, GermanyUNSPECIFIED
Datcu, Mihaimihai.datcu (at) dlr.deUNSPECIFIED
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. 385-388
Editors:
EditorsEmail
Soille, PierreJoint Research Centre, European Commission, Italy
Marchetti, Pier GiorgioEuropean Space Agency, Italy
Publisher:Publications Office of the European Union
ISSN:1831-9424
ISBN:978-92-79-43252-1
Status:Published
Keywords:Immersive visualization, Non-negative matrix factorization, entropy
Event Title:Big Data from Space - BiDS'14
Event Location:Frascati, Italien
Event Type:international Conference
Event Dates:12.-14.11.2014
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 - 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:07 Jan 2015 16:05
Last Modified:07 Jan 2015 16:05

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