Espinoza-Molina, Daniela und Datcu, Mihai (2013) Urban Area Understanding Based on Compression Methods. In: Proceedings of the JURSE 2013, Seiten 174-177. IEEE Xplore. JURSE 2013, 2013-04-20 - 2013-04-23, Sao Paulo, Brazil. doi: 10.1109/JURSE.2013.6550694. ISBN 978-1-4799-0212-5 (e) 978-1-4799-0213-2 (p).
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Offizielle URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6550694
Kurzfassung
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.
elib-URL des Eintrags: | https://elib.dlr.de/88964/ | ||||||||||||
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Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||
Titel: | Urban Area Understanding Based on Compression Methods | ||||||||||||
Autoren: |
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Datum: | April 2013 | ||||||||||||
Erschienen in: | Proceedings of the JURSE 2013 | ||||||||||||
Referierte Publikation: | Ja | ||||||||||||
Open Access: | Nein | ||||||||||||
Gold Open Access: | Nein | ||||||||||||
In SCOPUS: | Nein | ||||||||||||
In ISI Web of Science: | Nein | ||||||||||||
DOI: | 10.1109/JURSE.2013.6550694 | ||||||||||||
Seitenbereich: | Seiten 174-177 | ||||||||||||
Herausgeber: |
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Verlag: | IEEE Xplore | ||||||||||||
ISBN: | 978-1-4799-0212-5 (e) 978-1-4799-0213-2 (p) | ||||||||||||
Status: | veröffentlicht | ||||||||||||
Stichwörter: | Earth Observation images, compression methods, content-based image retrieval, image retrieval | ||||||||||||
Veranstaltungstitel: | JURSE 2013 | ||||||||||||
Veranstaltungsort: | Sao Paulo, Brazil | ||||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||||
Veranstaltungsbeginn: | 20 April 2013 | ||||||||||||
Veranstaltungsende: | 23 April 2013 | ||||||||||||
Veranstalter : | INPE | ||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||
HGF - Programm: | Verkehr | ||||||||||||
HGF - Programmthema: | Verkehrsmanagement (alt) | ||||||||||||
DLR - Schwerpunkt: | Verkehr | ||||||||||||
DLR - Forschungsgebiet: | V VM - Verkehrsmanagement | ||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | V - Projekt VABENE (alt) | ||||||||||||
Standort: | Oberpfaffenhofen | ||||||||||||
Institute & Einrichtungen: | Institut für Methodik der Fernerkundung > Photogrammetrie und Bildanalyse | ||||||||||||
Hinterlegt von: | UNGÜLTIGER BENUTZER | ||||||||||||
Hinterlegt am: | 06 Mai 2014 17:21 | ||||||||||||
Letzte Änderung: | 24 Apr 2024 19:54 |
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