A robust single-pixel particle image velocimetry based on fully convolutional networks with cross-correlation embedded
Author:
Affiliation:
1. State Key Laboratory of Fluid Power and Mechatronic Systems, School of Aeronautics and Astronautics, Zhejiang University, Hangzhou 310027, China
2. MicroVec., Inc, Beijing 100083, China
3. China Ship Scientific Research Center, Wuxi 214082, China
Funder
National Key Research and Development Program of China
National Natural Science Foundation of China
State Key Program of National Natural Science Foundation of China
Publisher
AIP Publishing
Subject
Condensed Matter Physics,Fluid Flow and Transfer Processes,Mechanics of Materials,Computational Mechanics,Mechanical Engineering
Link
https://aip.scitation.org/doi/pdf/10.1063/5.0077146
Reference53 articles.
1. Particle-Imaging Techniques for Experimental Fluid Mechanics
2. Improved Particle Image Velocimetry Through Cell Segmentation and Competitive Survival
3. Long-Duration Time-Resolved PIV to Study Unsteady Aerodynamics
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