Iqbal, M. Amjed und Anghel, Andrei und Datcu, Mihai (2022) On the De-Ramping of SLC-IW Tops SAR Data and Ocean Circulation Parameters Estimation. In: International Geoscience and Remote Sensing Symposium (IGARSS), Seiten 6817-6820. IEEE - Institute of Electrical and Electronics Engineers. IGARSS 2022, 2022-07-17 - 2022-07-22, Kuala Lumpur, Malaysia. doi: 10.1109/IGARSS46834.2022.9884331.
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Offizielle URL: https://ieeexplore.ieee.org/document/9884331
Kurzfassung
The spectral characteristics of single-look complex - inter-ferometric wide (SLC-IW) swath, terrain observation by progressive scan (TOPS), are significantly different from those of strip-map (SM). Due to the burst mode and series of sub-swaths, the target area is scanned for a short period of time. Therefore, swath width comes at the expense of azimuth resolution. To eliminate quadratic phase drift and achieve SLC baseband, significant processing is required. De-ramping is a necessary step to compute ocean circulation parameters. In this work, we extract ocean parameters from the complex echo signal based on data driven Doppler centroid (fDC) regardless of the OCN product information and geophysical fDC image. The radial surface velocity (RSV) is retrieved from Doppler history, and the significant wave height (SWH) is estimated with an empirical relationship of RSV. The results of ocean circulation parameters are promising when compared with benchmark and in-situ data. This work demonstrates the efficacy and necessity of de-ramping the TOPS data for subsequent use in a variety of ocean remote sensing applications.
elib-URL des Eintrags: | https://elib.dlr.de/193339/ | ||||||||||||||||
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Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||||||
Titel: | On the De-Ramping of SLC-IW Tops SAR Data and Ocean Circulation Parameters Estimation | ||||||||||||||||
Autoren: |
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Datum: | 2022 | ||||||||||||||||
Erschienen in: | International Geoscience and Remote Sensing Symposium (IGARSS) | ||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||
Open Access: | Ja | ||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||
In SCOPUS: | Ja | ||||||||||||||||
In ISI Web of Science: | Nein | ||||||||||||||||
DOI: | 10.1109/IGARSS46834.2022.9884331 | ||||||||||||||||
Seitenbereich: | Seiten 6817-6820 | ||||||||||||||||
Verlag: | IEEE - Institute of Electrical and Electronics Engineers | ||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||
Stichwörter: | IW-TOPS, De-ramping, fDC , RSV, SWH | ||||||||||||||||
Veranstaltungstitel: | IGARSS 2022 | ||||||||||||||||
Veranstaltungsort: | Kuala Lumpur, Malaysia | ||||||||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||||||||
Veranstaltungsbeginn: | 17 Juli 2022 | ||||||||||||||||
Veranstaltungsende: | 22 Juli 2022 | ||||||||||||||||
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, R - SAR-Methoden | ||||||||||||||||
Standort: | Oberpfaffenhofen | ||||||||||||||||
Institute & Einrichtungen: | Institut für Methodik der Fernerkundung > EO Data Science | ||||||||||||||||
Hinterlegt von: | Haschberger, Dr.-Ing. Peter | ||||||||||||||||
Hinterlegt am: | 16 Jan 2023 08:55 | ||||||||||||||||
Letzte Änderung: | 24 Apr 2024 20:54 |
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