A physics-enabled flow restoration algorithm for sparse PIV and PTV measurements

The gaps and noise present in particle image velocimetry (PIV) and particle tracking velocimetry (PTV) measurements affect the accuracy of the data collected. Existing algorithms developed for the restoration of such data are only applicable to experimental measurements collected under well-prepared...

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Veröffentlicht in:	Measurement science & technology 2015-06, Vol.26 (6), p.65301-23
Hauptverfasser:	Vlasenko, Andrey, Steele, Edward C C, Nimmo-Smith, W Alex M
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Assessments Computational fluid dynamics Mathematical models Noise levels Oceans particle image velocimetry particle tracking velocimetry Plankton Restoration Submersibles variational motion estimates velocity restoration
Online-Zugang:	Volltext
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