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
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|
|In ISI Web of Science:||No|
|Series Name:||Conference Proceedings on CD|
|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|
|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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