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Selection of Relevant Features and TerraSAR-X Products for Classification of High Resolution SAR Images

Dumitru, Corneliu und Singh, Jagmal und Datcu, Mihai (2012) Selection of Relevant Features and TerraSAR-X Products for Classification of High Resolution SAR Images. In: Proceedings of European Conference on Synthetic Aperture Radar (EUSAR), Seiten 243-246. VDE Verlag GmbH. EUSAR 2012, 2012-04-23 - 2012-04-26, Nuernberg, Germany. ISBN 978-3-8007-3404-7.

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Offizielle URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6217038

Kurzfassung

Feature extraction and classification using synthetic aperture radar (SAR) images has been a very active research field over recent last years. Although a lot of features have been proposed and many classifiers have been employed, but there are few works on comparing these features for different TerraSAR-X (TSX) product. In principle, there are many features like gray level co-occurrence matrix, Gabor filters, quadrature mirror filters, and non-linear short time Fourier transform that can be very useful for TSX image classification. However, many of these features may be completely irrelevant for classification when different TSX products (standard or special process products) are used. Therefore, an important research direction is to identify the best features and appropriate TSX product for them using the Support Vector Machine and as a measure of the classification accuracy the precision -recall. The precision-recall was computed for all these features and products and after that we identify the feature and the product that perform better than the other. The results shows that: (1) the best feature extraction method is Gabor filters (with different scales and orientations) for almost of the TSX products with an average (for all the classes) of the precision between 89.72% and 97.41% and an average of the recall between 33.59% and 44.16% (depending by the TSX products) and (2) the best product from the multi-resolution product pyramid is the standard MGD-RE product. Our dataset was TerraSAR-X High Resolution Spotlight products taken over Venice and Toulouse where the actual ground cover was known to us. The novelty of this article lies in the fact that these features are applied for SAR images and compared to each other for a multi-resolution pyramid generated for TerraSAR-X MGD products.

elib-URL des Eintrags:https://elib.dlr.de/79164/
Dokumentart:Konferenzbeitrag (Vortrag)
Titel:Selection of Relevant Features and TerraSAR-X Products for Classification of High Resolution SAR Images
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Dumitru, Corneliucorneliu.dumitru (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Singh, Jagmaljagmal.singh (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Datcu, Mihaimihai.datcu (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Datum:15 Mai 2012
Erschienen in:Proceedings of European Conference on Synthetic Aperture Radar (EUSAR)
Referierte Publikation:Ja
Open Access:Nein
Gold Open Access:Nein
In SCOPUS:Nein
In ISI Web of Science:Nein
Seitenbereich:Seiten 243-246
Verlag:VDE Verlag GmbH
ISBN:978-3-8007-3404-7
Status:veröffentlicht
Stichwörter:Data mining , Feature extraction , Gabor filters , Image resolution , Mirrors , Satellites , Standards
Veranstaltungstitel:EUSAR 2012
Veranstaltungsort:Nuernberg, Germany
Veranstaltungsart:internationale Konferenz
Veranstaltungsbeginn:23 April 2012
Veranstaltungsende:26 April 2012
Veranstalter :VDE
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Raumfahrt
HGF - Programmthema:Erdbeobachtung
DLR - Schwerpunkt:Raumfahrt
DLR - Forschungsgebiet:R EO - Erdbeobachtung
DLR - Teilgebiet (Projekt, Vorhaben):R - Vorhaben hochauflösende Fernerkundungsverfahren (alt)
Standort: Oberpfaffenhofen
Institute & Einrichtungen:Institut für Methodik der Fernerkundung > Photogrammetrie und Bildanalyse
Hinterlegt von:UNGÜLTIGER BENUTZER
Hinterlegt am:29 Nov 2012 14:08
Letzte Änderung:24 Apr 2024 19:45

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