Iqbal, M. Amjed and Anghel, Andrei and 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), pp. 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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Official URL: https://ieeexplore.ieee.org/document/9884331
Abstract
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.
Item URL in elib: | https://elib.dlr.de/193339/ | ||||||||||||||||
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Document Type: | Conference or Workshop Item (Speech) | ||||||||||||||||
Title: | On the De-Ramping of SLC-IW Tops SAR Data and Ocean Circulation Parameters Estimation | ||||||||||||||||
Authors: |
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Date: | 2022 | ||||||||||||||||
Journal or Publication Title: | International Geoscience and Remote Sensing Symposium (IGARSS) | ||||||||||||||||
Refereed publication: | Yes | ||||||||||||||||
Open Access: | Yes | ||||||||||||||||
Gold Open Access: | No | ||||||||||||||||
In SCOPUS: | Yes | ||||||||||||||||
In ISI Web of Science: | No | ||||||||||||||||
DOI: | 10.1109/IGARSS46834.2022.9884331 | ||||||||||||||||
Page Range: | pp. 6817-6820 | ||||||||||||||||
Publisher: | IEEE - Institute of Electrical and Electronics Engineers | ||||||||||||||||
Status: | Published | ||||||||||||||||
Keywords: | IW-TOPS, De-ramping, fDC , RSV, SWH | ||||||||||||||||
Event Title: | IGARSS 2022 | ||||||||||||||||
Event Location: | Kuala Lumpur, Malaysia | ||||||||||||||||
Event Type: | international Conference | ||||||||||||||||
Event Start Date: | 17 July 2022 | ||||||||||||||||
Event End Date: | 22 July 2022 | ||||||||||||||||
HGF - Research field: | Aeronautics, Space and Transport | ||||||||||||||||
HGF - Program: | Space | ||||||||||||||||
HGF - Program Themes: | Earth Observation | ||||||||||||||||
DLR - Research area: | Raumfahrt | ||||||||||||||||
DLR - Program: | R EO - Earth Observation | ||||||||||||||||
DLR - Research theme (Project): | R - Artificial Intelligence, R - SAR methods | ||||||||||||||||
Location: | Oberpfaffenhofen | ||||||||||||||||
Institutes and Institutions: | Remote Sensing Technology Institute > EO Data Science | ||||||||||||||||
Deposited By: | Haschberger, Dr.-Ing. Peter | ||||||||||||||||
Deposited On: | 16 Jan 2023 08:55 | ||||||||||||||||
Last Modified: | 24 Apr 2024 20:54 |
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