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Inversion Algorithms and PS Detection in SAR Tomography. Case Study of Bucharest City

Danisor, Cosmin and Fornaro, Gianfranco and Datcu, Mihai (2016) Inversion Algorithms and PS Detection in SAR Tomography. Case Study of Bucharest City. Telfor Journal, 8, pp. 20-25. Telecommunications Society, Academic Mind. ISSN 1821-3251

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Official URL: http://journal.telfor.rs/Published/Vol8No1/Vol8No1_A4.pdf


Synthetic Aperture Radar (SAR) tomography can reconstruct the elevation profile of each pixel based on a set of co-registered complex images of a scene. Its main advantage over classical interferometric methods consists in the capability to improve the detection of single persistent scatterers as well as to enable the detection of multiple scatterers interfering within the same pixel. In this paper, three tomographic algorithms are compared and applied to a dataset of 32 images to generate the elevation map of dominant scatterers from a scene. Targets which present stable proprieties over time - Persistent Scatterers (PS) are then detected based on reflectivity functions reconstructed with Capon filtering.

Item URL in elib:https://elib.dlr.de/108137/
Document Type:Article
Title:Inversion Algorithms and PS Detection in SAR Tomography. Case Study of Bucharest City
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Danisor, CosminUniversity Politehnica BucharestUNSPECIFIED
Fornaro, Gianfrancoirea-cnrUNSPECIFIED
Datcu, Mihaimihai.datcu (at) dlr.deUNSPECIFIED
Date:1 August 2016
Journal or Publication Title:Telfor Journal
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In ISI Web of Science:No
Page Range:pp. 20-25
Publisher:Telecommunications Society, Academic Mind
Keywords:Beam-forming, Capon filtering, Least-Squares optimization, PS detection, SAR tomography
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 hochauflösende Fernerkundungsverfahren
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Dumitru, Corneliu Octavian
Deposited On:23 Nov 2016 11:36
Last Modified:08 Mar 2018 18:39

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