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Time-Domain SAR Processor for Sentinel 1 TOPS Data

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.

Full text not available from this repository.

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/
Document Type:Conference or Workshop Item (Speech)
Title:Time-Domain SAR Processor for Sentinel 1 TOPS Data
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Anghel, AndreiUniversity Politehnica BucharestUNSPECIFIEDUNSPECIFIED
Cacoveanu, RemusUniversity Politehnica BucharestUNSPECIFIEDUNSPECIFIED
Rommen, BjornEuropean Space Agency (ESA), NetherlandsUNSPECIFIEDUNSPECIFIED
Datcu, MihaiUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
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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