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Reverse Backprojection Algorithm for the Accurate Generation of SAR Raw Data of Natural Scenes

Li, Dexin and Rodriguez Cassola, Marc and Prats, Pau and Wu, Manqing and Moreira, Alberto (2017) Reverse Backprojection Algorithm for the Accurate Generation of SAR Raw Data of Natural Scenes. IEEE Geoscience and Remote Sensing Letters, 14 (11), pp. 2072-2076. IEEE - Institute of Electrical and Electronics Engineers. DOI: 10.1109/LGRS.2017.2751460 ISSN 1545-598X

Full text not available from this repository.

Abstract

Future synthetic aperture radar (SAR) mission concepts often rely on locally nonlinear (e.g., high orbits and bistatic) surveys or acquisition schemes. The simulation of the raw data of natural scenes as acquired by future systems appears as one powerful tool in order to understand the particularities of these systems and assess the impact of system and propagation errors on their performance. We put forward, in this letter, a new formulation of the reverse backprojection algorithm for the accurate simulation of raw data of natural surfaces. In particular, the algorithm is perfectly suited to accommodate any kind (1-D/2-D) of temporal and spatial variation, e.g., in observation geometry, acquisition strategy, or atmospheric propagation. The algorithm is analyzed with respect to its SAR image formation sibling, and tested under different simulation scenarios. We expect the reverse backprojection algorithm to play a relevant role in the simulation of future geosynchronous and multistatic SAR missions.

Item URL in elib:https://elib.dlr.de/118370/
Document Type:Article
Title:Reverse Backprojection Algorithm for the Accurate Generation of SAR Raw Data of Natural Scenes
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Li, DexinInstitute of Space Electronics and Information Technology, National University of Defense Technology, Changsha, ChinaUNSPECIFIED
Rodriguez Cassola, MarcMarc.Rodriguez (at) dlr.deUNSPECIFIED
Prats, PauPau.Prats (at) dlr.dehttps://orcid.org/0000-0002-7583-2309
Wu, ManqingNational University of Defense Technology, School of Electronic Science and Engineering, Changsha, ChinaUNSPECIFIED
Moreira, AlbertoAlberto.Moreira (at) dlr.dehttps://orcid.org/0000-0002-3436-9653
Date:November 2017
Journal or Publication Title:IEEE Geoscience and Remote Sensing Letters
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:14
DOI :10.1109/LGRS.2017.2751460
Page Range:pp. 2072-2076
Publisher:IEEE - Institute of Electrical and Electronics Engineers
ISSN:1545-598X
Status:Published
Keywords:SAR, reverse backprojection
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Flugzeug-SAR
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute > SAR Technology
Deposited By: Rodriguez Cassola, Marc
Deposited On:19 Jan 2018 12:06
Last Modified:08 Mar 2018 18:31

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