Joshi, Sushil Kumar und Baumgartner, Stefan V. und Tings, Björn (2024) Efficient Size and Heading Angle Estimation of Ships in SAR and ISAR Images. IEEE Geoscience and Remote Sensing Letters, 21, Seiten 1-5. IEEE - Institute of Electrical and Electronics Engineers. doi: 10.1109/LGRS.2024.3402362. ISSN 1545-598X.
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Offizielle URL: https://ieeexplore.ieee.org/document/10534038
Kurzfassung
For maritime security applications it is advantageous or even required, that additionally to the geographical positions and moving directions the dimensions of the detected ships are available for subsequent classification and recognition purposes. In this paper a fast and robust method for size and heading angle estimation of ships in synthetic aperture radar (SAR) and inverse SAR (ISAR) images is proposed. The novel method leverages the eigenvalue decomposition of the detected ship pixel positions for determining the just mentioned parameters. The effectiveness of the proposed method is assessed against several state-of-the-art methods by using real X-band SAR images acquired with the German TerraSAR-X radar satellite in stripmap mode. The achieved accuracies of the proposed method are better than the ones obtained with the considered state-of-the-art methods and, as a further benefit, the computation time is also significantly shorter.
elib-URL des Eintrags: | https://elib.dlr.de/204142/ | ||||||||||||||||
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Dokumentart: | Zeitschriftenbeitrag | ||||||||||||||||
Titel: | Efficient Size and Heading Angle Estimation of Ships in SAR and ISAR Images | ||||||||||||||||
Autoren: |
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Datum: | 17 Mai 2024 | ||||||||||||||||
Erschienen in: | IEEE Geoscience and Remote Sensing Letters | ||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||
Open Access: | Ja | ||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||
In SCOPUS: | Ja | ||||||||||||||||
In ISI Web of Science: | Ja | ||||||||||||||||
Band: | 21 | ||||||||||||||||
DOI: | 10.1109/LGRS.2024.3402362 | ||||||||||||||||
Seitenbereich: | Seiten 1-5 | ||||||||||||||||
Verlag: | IEEE - Institute of Electrical and Electronics Engineers | ||||||||||||||||
ISSN: | 1545-598X | ||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||
Stichwörter: | ships, spaceborne, synthetic aperture radar (SAR), maritime security | ||||||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||
HGF - Programm: | Verkehr | ||||||||||||||||
HGF - Programmthema: | Straßenverkehr | ||||||||||||||||
DLR - Schwerpunkt: | Verkehr | ||||||||||||||||
DLR - Forschungsgebiet: | V ST Straßenverkehr | ||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | V - V&V4NGC - Methoden, Prozesse und Werkzeugketten für die Validierung & Verifikation von NGC, R - SAR-Methoden | ||||||||||||||||
Standort: | Bremen , Oberpfaffenhofen | ||||||||||||||||
Institute & Einrichtungen: | Institut für Hochfrequenztechnik und Radarsysteme > Radarkonzepte Institut für Methodik der Fernerkundung > SAR-Signalverarbeitung | ||||||||||||||||
Hinterlegt von: | Joshi, Sushil Kumar | ||||||||||||||||
Hinterlegt am: | 15 Mai 2024 10:39 | ||||||||||||||||
Letzte Änderung: | 29 Jul 2024 09:03 |
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