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Synthetic Aperture Radar Focusing based on Backprojection and Compressive Sensing

Focsa, Adrian and Anghel, Andrei and Toma, Ștefan-Adrian and Datcu, Mihai (2020) Synthetic Aperture Radar Focusing based on Backprojection and Compressive Sensing. 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/IGARSS39084.2020.9323775. ISBN 978-172816374-1. ISSN 2153-6996.

Full text not available from this repository.

Official URL: https://igarss2020.org/view_paper.php?PaperNum=1215

Abstract

In this paper is presented a new methodology for synthetic aperture radar images focusing called bidimensional mixed compressive sensing back-projection (CS-BP-2D). Spatial compressibility of the radar images is exploited by constructing the sparsity basis using the backprojection focusing framework and solving the reconstruction problem by means of the orthogonal matching pursuit algorithm (OMP).

Item URL in elib:https://elib.dlr.de/138265/
Document Type:Conference or Workshop Item (Speech)
Title:Synthetic Aperture Radar Focusing based on Backprojection and Compressive Sensing
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Focsa, AdrianAcademia Tehnica MilitaraUNSPECIFIEDUNSPECIFIED
Anghel, AndreiUniversity Politehnica of Bucharest, RomaniaUNSPECIFIEDUNSPECIFIED
Toma, Ștefan-AdrianMilitary Technical Academy “Ferdinand I”UNSPECIFIEDUNSPECIFIED
Datcu, MihaiDLRUNSPECIFIEDUNSPECIFIED
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/IGARSS39084.2020.9323775
Page Range:pp. 1-4
ISSN:2153-6996
ISBN:978-172816374-1
Status:Published
Keywords:compressive sensing, backprojection, synthetic aperture radar, focusing, bistatic
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 16:27
Last Modified:24 Apr 2024 20:40

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