Focsa, Adrian und Anghel, Andrei und Datcu, Mihai (2023) Elliptical grid generation for sped-up back-projection on bistatic SAR with ground based stationary receiver. In: 2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023, Seiten 7832-7835. IGARSS 2023, 2023-07-16 - 2023-07-21, Pasadena, CA, USA. doi: 10.1109/IGARSS52108.2023.10282479. ISBN 979-835032010-7. ISSN 2153-6996.
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Offizielle URL: https://2023.ieeeigarss.org/
Kurzfassung
In this paper, an efficient routine for elliptical grid generation employed for the back-projection sped-up is proposed. The grid accommodates the particular bistatic setup formed by a space-born transmitter (Sentinel-l) and a ground-based stationary receiver (COBIS). Herein, the adapted elliptical grid is designed such that the computational complexity of the standard back-projection algorithm used for SAR image formation decreases. Specifically, the computational load is mitigated by reducing the density of the points in the cross-range direction. Such an elliptical grid leads to the formation of the SAR image in any arbitrary plane, preserving the range–azimuth (cross-range) spectrum of the final SAR image, making it suitable for further Doppler processing algorithms (e.g., common band selection in SAR interferometry).
elib-URL des Eintrags: | https://elib.dlr.de/201617/ | ||||||||||||||||
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Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||||||
Titel: | Elliptical grid generation for sped-up back-projection on bistatic SAR with ground based stationary receiver | ||||||||||||||||
Autoren: |
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Datum: | 2023 | ||||||||||||||||
Erschienen in: | 2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023 | ||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||
Open Access: | Nein | ||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||
In SCOPUS: | Ja | ||||||||||||||||
In ISI Web of Science: | Nein | ||||||||||||||||
DOI: | 10.1109/IGARSS52108.2023.10282479 | ||||||||||||||||
Seitenbereich: | Seiten 7832-7835 | ||||||||||||||||
ISSN: | 2153-6996 | ||||||||||||||||
ISBN: | 979-835032010-7 | ||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||
Stichwörter: | Fast back projection (FBP), elliptical grid, bistatic SAR | ||||||||||||||||
Veranstaltungstitel: | IGARSS 2023 | ||||||||||||||||
Veranstaltungsort: | Pasadena, CA, USA | ||||||||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||||||||
Veranstaltungsbeginn: | 16 Juli 2023 | ||||||||||||||||
Veranstaltungsende: | 21 Juli 2023 | ||||||||||||||||
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 - Künstliche Intelligenz | ||||||||||||||||
Standort: | Oberpfaffenhofen | ||||||||||||||||
Institute & Einrichtungen: | Institut für Methodik der Fernerkundung > EO Data Science | ||||||||||||||||
Hinterlegt von: | Dumitru, Corneliu Octavian | ||||||||||||||||
Hinterlegt am: | 10 Jan 2024 12:04 | ||||||||||||||||
Letzte Änderung: | 24 Apr 2024 21:02 |
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