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Position-Aware Non-negative Matrix Factorization for Satellite Image Representation

Babaee, Mohammadreza and Rigoll, Gerhard and Datcu, Mihai (2016) Position-Aware Non-negative Matrix Factorization for Satellite Image Representation. In: Proceedings of the European Conference on Synthetic Aperture Radar (EUSAR, pp. 410-413. VDE Verlag. EUSAR 2016, 6-9 June 2016, Hamburg, Germany. ISBN 978-3-8007-4228-8 ISSN 2197-4403

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Official URL: https://www.vde-verlag.de/proceedings-de/454228097.html

Abstract

Satellite images clustering is a challenging problem in remote sensing and machine vision, where each image content is represented by a high-dimensional feature vector. However, the feature vectors might not be appropriate to express the semantic content of images, which eventually leads to poor results in clustering and classification. To tackle this problem, we propose a novel approach to generate compact and informative features from image content. To this end, we utilize geometrical information (as meta data accompanied with images) in the context of Non-negative Matrix Factorization (NMF) to generate new features. We assess the quality of new features by applying k-means clustering on the generated features and compare the obtained clustering results with those achieved by original features. We perform experiments on several satellite image data sets represented by different state-of-the-art features and demonstrate the effectiveness of the proposed method.

Item URL in elib:https://elib.dlr.de/108057/
Document Type:Conference or Workshop Item (Poster)
Title:Position-Aware Non-negative Matrix Factorization for Satellite Image Representation
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Babaee, Mohammadrezatechnical university munich, germanyUNSPECIFIED
Rigoll, Gerhardtechnical university munich, germanyUNSPECIFIED
Datcu, Mihaimihai.datcu (at) dlr.deUNSPECIFIED
Date:8 June 2016
Journal or Publication Title:Proceedings of the European Conference on Synthetic Aperture Radar (EUSAR
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 410-413
Publisher:VDE Verlag
ISSN:2197-4403
ISBN:978-3-8007-4228-8
Status:Published
Keywords:Non-negative Matrix Factorization, clustering
Event Title:EUSAR 2016
Event Location:Hamburg, Germany
Event Type:international Conference
Event Dates:6-9 June 2016
Organizer:VDE
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: Dumitru, Corneliu Octavian
Deposited On:21 Nov 2016 15:09
Last Modified:31 Jul 2019 20:05

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