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Urban Area Understanding Based on Compression Methods

Espinoza-Molina, Daniela and Datcu, Mihai (2013) Urban Area Understanding Based on Compression Methods. In: Proceedings of the JURSE 2013, pp. 174-177. IEEE Xplore. JURSE 2013, 20.-23. April 2013, Sao Paulo, Brazil. ISBN 978-1-4799-0212-5 (e) 978-1-4799-0213-2 (p) ISSN doi: 10.1109/JURSE#.2013.6550694

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Official URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6550694


In this paper, we present a comparative evaluation of two content-based image retrieval systems, the first one based on texture feature extraction methods and machine learning algorithms and the second one based on compression methods and similarity metrics. The evaluation is carried out using high resolution optical and SAR data. The test data set is composed of 4000 tiles, with 64×64 pixel size. Those tiles were classified into 7 land use/land cover classes in the case of optical and 10 classes in the case of SAR. The experimental results show a good performance of both methods in retrieving built-up and natural scenes. However, the advantage of the last method is mainly the facility of its operation since it does not need to set input parameters and the image retrieval is full automatic.

Item URL in elib:https://elib.dlr.de/88964/
Document Type:Conference or Workshop Item (Speech)
Title:Urban Area Understanding Based on Compression Methods
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Espinoza-Molina, Danieladaniela.espinozamolina (at) dlr.deUNSPECIFIED
Datcu, Mihaimihai.datcu (at) dlr.deUNSPECIFIED
Date:April 2013
Journal or Publication Title:Proceedings of the JURSE 2013
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 174-177
Publisher:IEEE Xplore
ISSN:doi: 10.1109/JURSE#.2013.6550694
ISBN:978-1-4799-0212-5 (e) 978-1-4799-0213-2 (p)
Keywords:Earth Observation images, compression methods, content-based image retrieval, image retrieval
Event Title:JURSE 2013
Event Location:Sao Paulo, Brazil
Event Type:international Conference
Event Dates:20.-23. April 2013
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Traffic Management (old)
DLR - Research area:Transport
DLR - Program:V VM - Verkehrsmanagement
DLR - Research theme (Project):V - Projekt VABENE (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited On:06 May 2014 17:21
Last Modified:08 May 2014 23:31

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