Anghel, Andrei and Cacoveanu, Remus and Rommen, Bjorn and Datcu, Mihai (2020) Time-Domain SAR Processor for Sentinel 1 TOPS Data. In: 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020, pp. 1-4. IGARSS 2020, 2020-09-26 - 2020-10-02, online. doi: 10.1109/IGARSS39084.2020.9324133. ISBN 978-172816374-1. ISSN 2153-6996.
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Official URL: https://igarss2020.org/view_paper.php?PaperNum=1357
Abstract
This paper presents a time-domain synthetic aperture radar (SAR) processor designed for Sentinel-1 Terrain Observation by Progressive Scans (TOPS) monostatic data. The processor focuses Interferometric Wide (IW) swath and Extra Wide (EW) swath data on a selected region-of-interest (ROI) and consists of the following main stages: decoding of Level-0 data, selection of the relevant burst and pulses for the targeted ROI, range compression, azimuth frequency unfolding and resampling, and image focusing by a fast subaperture-based version of the back-projection algorithm. The performances of the developed processor are assessed on datasets acquired in IW and EW imaging modes. Such a time-domain processor can be regarded as a first step towards a geometry/frequency-agnostic SAR processing kernel for future monostatic/multistatic spaceborne SAR missions.
Item URL in elib: | https://elib.dlr.de/138257/ | ||||||||||||||||||||
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Document Type: | Conference or Workshop Item (Speech) | ||||||||||||||||||||
Title: | Time-Domain SAR Processor for Sentinel 1 TOPS Data | ||||||||||||||||||||
Authors: |
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Date: | September 2020 | ||||||||||||||||||||
Journal or Publication Title: | 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 | ||||||||||||||||||||
Refereed publication: | Yes | ||||||||||||||||||||
Open Access: | Yes | ||||||||||||||||||||
Gold Open Access: | No | ||||||||||||||||||||
In SCOPUS: | Yes | ||||||||||||||||||||
In ISI Web of Science: | Yes | ||||||||||||||||||||
DOI: | 10.1109/IGARSS39084.2020.9324133 | ||||||||||||||||||||
Page Range: | pp. 1-4 | ||||||||||||||||||||
ISSN: | 2153-6996 | ||||||||||||||||||||
ISBN: | 978-172816374-1 | ||||||||||||||||||||
Status: | Published | ||||||||||||||||||||
Keywords: | SAR, TOPS, Time-domain focusing | ||||||||||||||||||||
Event Title: | IGARSS 2020 | ||||||||||||||||||||
Event Location: | online | ||||||||||||||||||||
Event Type: | international Conference | ||||||||||||||||||||
Event Start Date: | 26 September 2020 | ||||||||||||||||||||
Event End Date: | 2 October 2020 | ||||||||||||||||||||
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 - Vorhaben hochauflösende Fernerkundungsverfahren (old), R - SAR methods | ||||||||||||||||||||
Location: | Oberpfaffenhofen | ||||||||||||||||||||
Institutes and Institutions: | Remote Sensing Technology Institute > EO Data Science | ||||||||||||||||||||
Deposited By: | Yao, Wei | ||||||||||||||||||||
Deposited On: | 26 Nov 2020 16:23 | ||||||||||||||||||||
Last Modified: | 24 Apr 2024 20:40 |
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