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Least Squares Estimation of PSI Networks for Large Scenes with Multithreaded Singular Value Decomposition

Liebhart, Werner and Adam, Nico and Parizzi, Alessandro (2010) Least Squares Estimation of PSI Networks for Large Scenes with Multithreaded Singular Value Decomposition. EUSAR 2010, 7.-10. Juni 2010, Aachen.

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Abstract

In the Persistent Scatterer Interferometry relative height and deformation updates are estimated between nearby persistent scatterers (PSs). In practice, a reference network is established and the absolute values are estimated by integration. However, PSs can be mis-detected and relative measurements mis-estimated. As a consequence, the integration result depends on the integration path. Therefore, inconsistent measurements need to be eliminated. This paper presents our implemented integration technique which is based on a multithreaded Singular Value Decomposition. An advantage of our method is the straight forward error propagation assessment. As a result, the actual network can be improved by removing inaccurate point scatterers.

Document Type:Conference or Workshop Item (Speech)
Title:Least Squares Estimation of PSI Networks for Large Scenes with Multithreaded Singular Value Decomposition
Authors:
AuthorsInstitution or Email of Authors
Liebhart, WernerTUM
Adam, NicoDLR
Parizzi, AlessandroDLR
Date:June 2010
Refereed publication:Yes
Page Range:pp. 154-157
Status:Published
Keywords:Persistent Scatterer Interferometry, Singular Value Decomposition, Multithreading, Jacobi Transformation, Least Square Estimation
Event Title:EUSAR 2010
Event Location:Aachen
Event Type:international Conference
Event Dates:7.-10. Juni 2010
Organizer:VDE
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W EO - Erdbeobachtung
DLR - Research area:Space
DLR - Program:W EO - Erdbeobachtung
DLR - Research theme (Project):W - Vorhaben Informationstechnische Systeme für die Fernerkundung (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > SAR Signal Processing
Deposited By: Werner Liebhart
Deposited On:27 Oct 2010 14:13
Last Modified:25 Jun 2014 16:50

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