Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | EUSAR 2021 - 13th European Conference on Synthetic Aperture Radar, Proceedings |
| Herausgeber (Verlag) | Institute of Electrical and Electronics Engineers Inc. |
| Seiten | 194-197 |
| Seitenumfang | 4 |
| ISBN (Print) | 9783800754571 |
| Publikationsstatus | Veröffentlicht - 2021 |
| Veranstaltung | 13th European Conference on Synthetic Aperture Radar, EUSAR 2021 - Virtual, Online, Deutschland Dauer: 29 März 2021 → 1 Apr. 2021 |
Publikationsreihe
| Name | Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR |
|---|---|
| Band | 2021-March |
| ISSN (Print) | 2197-4403 |
Abstract
The quality of a SAR image, which shows a large arbitrarily moving ship, can be improved, if the rotation and the deformation of the ship are taken into account in image formation. Our backprojection autofocus algorithm is the first algorithm, which is able to estimate and to compensate ship rotations and deformations. However, the algorithm requires a predefined number of subimages, a predefined regularization parameter and a predefined interpolation method. This paper analyzes these parameters and shows that compensating the hogging/sagging deformation leads to improved image quality.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Signalverarbeitung
- Physik und Astronomie (insg.)
- Instrumentierung
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EUSAR 2021 - 13th European Conference on Synthetic Aperture Radar, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2021. S. 194-197 (Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR; Band 2021-March).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Analysis of ship deformation using the backprojection autofocus of large ships with arbitrary motion for synthetic aperture radar
AU - Sommer, Aron
AU - Ostermann, Jörn
PY - 2021
Y1 - 2021
N2 - The quality of a SAR image, which shows a large arbitrarily moving ship, can be improved, if the rotation and the deformation of the ship are taken into account in image formation. Our backprojection autofocus algorithm is the first algorithm, which is able to estimate and to compensate ship rotations and deformations. However, the algorithm requires a predefined number of subimages, a predefined regularization parameter and a predefined interpolation method. This paper analyzes these parameters and shows that compensating the hogging/sagging deformation leads to improved image quality.
AB - The quality of a SAR image, which shows a large arbitrarily moving ship, can be improved, if the rotation and the deformation of the ship are taken into account in image formation. Our backprojection autofocus algorithm is the first algorithm, which is able to estimate and to compensate ship rotations and deformations. However, the algorithm requires a predefined number of subimages, a predefined regularization parameter and a predefined interpolation method. This paper analyzes these parameters and shows that compensating the hogging/sagging deformation leads to improved image quality.
UR - http://www.scopus.com/inward/record.url?scp=85105986355&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85105986355
SN - 9783800754571
T3 - Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR
SP - 194
EP - 197
BT - EUSAR 2021 - 13th European Conference on Synthetic Aperture Radar, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 13th European Conference on Synthetic Aperture Radar, EUSAR 2021
Y2 - 29 March 2021 through 1 April 2021
ER -