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An analysis on the contribution of the phase component for scene class recognition in TerraSAR-X scenes

Popescu, Anca und Datcu, Mihai (2013) An analysis on the contribution of the phase component for scene class recognition in TerraSAR-X scenes. In: 5th TerraSAR-X / 4th TanDEM-X Science Team Meeting. 5th TerraSAR-X Science Team Meeting, 2013-06-10 - 2013-06-14, Oberpfaffenhofen, Germany.

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Offizielle URL: http://terrasar-x.dlr.de/pdfs/program_2013_TSX-TDX.pdf

Kurzfassung

Traditional approaches for SAR image classification and target recognition in high resolution acquisitions discard phase information and are solely based on the detected data. When one makes use of several SLC image acquisitions, the phase variation is the main source of information. We propose a method for feature definition and extraction which combines single SAR acquisitions with interferometric information. Not only that phase becomes less random, but it describes the changes that occur on the received scene reflectivity. In the hypothesis that two successive acquisitions are taken on a stationary scene (tandem acquisitions), combined information from these data can be employed to describe the scene content. Thus, we propose the usage of spectral based descriptors that make use of the full complex signal from two or more SLC acquisitions to construct robust image descriptors. The experiments show that the interferometric information can be very valuable for the recognition of coherent targets, increasing the recognition rate. Our approach relies on the estimation of the SAR image spectra, from which features are derived in two stages: the estimation of the model order and the extraction of the most relevant descriptors. The set of descriptors is extracted from the complex spectrum of the SAR image, using a spectral decomposition method. We consider the problem of estimating the parameters of complexvalued two-dimensional sinusoidal signals observed in noise. Our approach considers not just isolated objects but also takes into account the complexity of high resolution urban scenes, where there is a large variety of structures, which can be best understood in their context. This is why we propose to extract the feature vectors from image patches which cover a relevant area on the ground (200 x 200 m), compared to the object size. Experiments are performed on data acquired in the context of scientific proposals LAN 1613, MTH 1628, and OTHER0502.

elib-URL des Eintrags:https://elib.dlr.de/88799/
Dokumentart:Konferenzbeitrag (Poster)
Titel:An analysis on the contribution of the phase component for scene class recognition in TerraSAR-X scenes
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Popescu, AncaUniversity Politehnica BucharestNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Datcu, MihaiMihai.Datcu (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Datum:Juni 2013
Erschienen in:5th TerraSAR-X / 4th TanDEM-X Science Team Meeting
Referierte Publikation:Nein
Open Access:Ja
Gold Open Access:Nein
In SCOPUS:Nein
In ISI Web of Science:Nein
Herausgeber:
HerausgeberInstitution und/oder E-Mail-Adresse der HerausgeberHerausgeber-ORCID-iDORCID Put Code
NICHT SPEZIFIZIERTDFDNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Status:veröffentlicht
Stichwörter:TerraSAR-X scenes
Veranstaltungstitel:5th TerraSAR-X Science Team Meeting
Veranstaltungsort:Oberpfaffenhofen, Germany
Veranstaltungsart:Workshop
Veranstaltungsbeginn:10 Juni 2013
Veranstaltungsende:14 Juni 2013
Veranstalter :DFD
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:11 Apr 2014 14:01
Letzte Änderung:24 Apr 2024 19:54

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