A Kalman tracker for super-resolution PIV

A Kalman tracker for super-resolution PIV We describe a new super-resolution method of particle-image velocimetry (PIV) based on Kalman filtering and χ2-testing. Performance of the “super-resolution KC” method is evaluated by Monte-Carlo simulation and by applying the method to measurements of flow fields recorded in the form of double-pulse/single-frame and single-pulse/double-frame particle images. When the images have good contrast, and depending on the intensity of the velocity gradients present in the flow, the super-resolution KC method is able to extract valid measurements from 80 to 100% of the available image pairs. In these tests, the vector yield is increased by more than five times compared to standard PIV analysis. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Experiments in Fluids Springer Journals

A Kalman tracker for super-resolution PIV

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Publisher
Springer-Verlag
Copyright
Copyright © 2000 by Springer-Verlag Berlin Heidelberg
Subject
Engineering; Engineering Fluid Dynamics; Fluid- and Aerodynamics; Engineering Thermodynamics, Heat and Mass Transfer
ISSN
0723-4864
eISSN
1432-1114
D.O.I.
10.1007/s003480070005
Publisher site
See Article on Publisher Site

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