Ao, Dongyang und Datcu, Mihai (2018) Ship Azimuth Velocity Estimation in TerraSAR-X data based on Minimum-Entropy Criterion. In: Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR, Seiten 1-4. EUSAR 2018, 2018-06-07 - 2018-06-10, Aachen, Germany.
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Offizielle URL: http://conference.vde.com/eusar/2018/Pages/default.aspx
Kurzfassung
This paper proposed a new method to estimate the ship azimuth velocity in TerraSAR-X data based on the minimum-entropy criterion. The moving targets in synthetic aperture radar images are blurred because of the mismatch of the desired signal of stationary targets. Applying the image entropy, a simple parameter to evaluate the extent of the defocusing, the azimuth velocity can be recovered through searching the minima of the entropy curves. The signal models of moving targets are analyzed and their behaviors in SAR images are deduced in this paper. Experiment results show that our method for estimating ship azimuthal velocities in TerraSAR-X data has high precision and is robust.
elib-URL des Eintrags: | https://elib.dlr.de/120528/ | ||||||||||||
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Dokumentart: | Konferenzbeitrag (Poster) | ||||||||||||
Titel: | Ship Azimuth Velocity Estimation in TerraSAR-X data based on Minimum-Entropy Criterion | ||||||||||||
Autoren: |
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Datum: | Juni 2018 | ||||||||||||
Erschienen in: | Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR | ||||||||||||
Referierte Publikation: | Ja | ||||||||||||
Open Access: | Ja | ||||||||||||
Gold Open Access: | Nein | ||||||||||||
In SCOPUS: | Ja | ||||||||||||
In ISI Web of Science: | Nein | ||||||||||||
Seitenbereich: | Seiten 1-4 | ||||||||||||
Status: | veröffentlicht | ||||||||||||
Stichwörter: | Ship detection, TerraSAR-X, entropy, defocusing, azimuth velocity | ||||||||||||
Veranstaltungstitel: | EUSAR 2018 | ||||||||||||
Veranstaltungsort: | Aachen, Germany | ||||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||||
Veranstaltungsbeginn: | 7 Juni 2018 | ||||||||||||
Veranstaltungsende: | 10 Juni 2018 | ||||||||||||
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 > EO Data Science | ||||||||||||
Hinterlegt von: | Dumitru, Corneliu Octavian | ||||||||||||
Hinterlegt am: | 22 Jun 2018 12:26 | ||||||||||||
Letzte Änderung: | 24 Apr 2024 20:24 |
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