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Discriminative Feature Learning from SAR Images for Data Clustering

Babaee, Mohammadreza and Tsoukalas, Stefanos and Rigoll, Gerhard and Datcu, Mihai (2014) Discriminative Feature Learning from SAR Images for Data Clustering. In: Proceedings of the 2014 Conference on Big Data from Space (BiDS'14), pp. 283-286. 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


Clustering of Earth Observation (EO) images has gained a high amount of attention in remote sensing and data mining. Here, each image is represented by a high-dimensional feature vector which could be computed as the results of coding algorithms of extracted local descriptors or raw pixel values. In this work, we propose to learn the features using discriminative Nonnegative Matrix factorization (DNMF) to represent each image. Here, we use the label of some images to produce new representation of images with more discriminative property. To validate our algorithm, we apply the proposed algorithm on a dataset of Synthetic Aperture Radar (SAR) and compare the results with the results of state-of-the-art techniques for image representation. The results confirm the capability of the proposed method in learning discriminative features leading to higher accuracy in clustering.

Item URL in elib:https://elib.dlr.de/94229/
Document Type:Conference or Workshop Item (Poster)
Title:Discriminative Feature Learning from SAR Images for Data Clustering
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Babaee, MohammadrezaTechnical University Munich, GermanyUNSPECIFIEDUNSPECIFIED
Tsoukalas, StefanosTechnical University Munich, GermanyUNSPECIFIEDUNSPECIFIED
Rigoll, GerhardTechnical University Munich, GermanyUNSPECIFIEDUNSPECIFIED
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 ISI Web of Science:No
Page Range:pp. 283-286
EditorsEmailEditor's ORCID iDORCID Put Code
Soille, PierreJoint Research Centre, European Commission, ItalyUNSPECIFIEDUNSPECIFIED
Marchetti, Pier GiorgioEuropean Space Agency, ItalyUNSPECIFIEDUNSPECIFIED
Publisher:Publications Office of the European Union
Keywords:Feature Learning, Nonnegative Matrix Factorization, Clustering
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 - 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 On:07 Jan 2015 15:58
Last Modified:07 Jan 2015 15:58

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