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Sparse non-negative volume reconstruction using non-linear substitution and spectral projected gradient methods

Gesemann, Sebastian (2011) Sparse non-negative volume reconstruction using non-linear substitution and spectral projected gradient methods. FVR 2011, 29. Nov. - 01. Dec. 2011, Poitiers, France.

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Official URL: http://fvr2011.conference.univ-poitiers.fr

Abstract

Sparse non-negative reconstruction problems arise as part of the tomographic particle image velocimetry technique for volumetric flow measurement. Current state-of-the-art algebraic reconstruction algorithms for these kinds of problems are MART/SMART-based. This paper intends to make a case for an alternative algebraic reconstruction algorithm for sparse non-negative volumes called S-SPG. It is based on the spectral projected gradient method and enhanced by a non-linear substitution that acts as a preconditioner. S-SPG offers a couple of interesting properties in comparison with the MART/SMART-based solvers which are discussed in this paper along with results of simulations with varying numbers of cameras and particle densities.

Document Type:Conference or Workshop Item (Speech, Paper)
Title:Sparse non-negative volume reconstruction using non-linear substitution and spectral projected gradient methods
Authors:
AuthorsInstitution or Email of Authors
Gesemann, SebastianUNSPECIFIED
Date:2011
Refereed publication:No
In SCOPUS:No
In ISI Web of Science:No
Series Name:Conference Proceedings on CD
Status:Published
Keywords:tomo PIV, reconstruction, optimization
Event Title:FVR 2011
Event Location:Poitiers, France
Event Type:international Conference
Event Dates:29. Nov. - 01. Dec. 2011
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:Aircraft Research
DLR - Research area:Aeronautics
DLR - Program:L AR - Aircraft Research
DLR - Research theme (Project):L - Flight Physics
Location: Göttingen
Institutes and Institutions:Institute of Aerodynamics and Flow Technology > Experimental Methods
Deposited By: Ilka Micknaus
Deposited On:05 Dec 2011 11:51
Last Modified:05 Dec 2011 11:51

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