Document Type
Conference Proceeding
Publication Date
1-1-2024
Identifier/URL
42937392 (Pure)
Abstract
Two-dimensional Rayleigh scattering imaging is utilized to quantify the high-speed flow velocity by employing deep learning based optical flow analysis, along with density fields from Rayleigh scattering intensity profiles.
Repository Citation
Zhang, D.,
& Yang, Z.
(2024). Deep Learning based Optical Flow Analysis of High-speed Flows. .
https://corescholar.libraries.wright.edu/mme/562
DOI
10.1364/LACSEA.2024.LTu3F.2
Included in
Aerospace Engineering Commons, Engineering Science and Materials Commons, Materials Science and Engineering Commons, Mechanical Engineering Commons
Comments
2024 Laser Applications to Chemical, Security and Environmental Analysis, LACSEA 2024 - Part of Optica Sensing Congress in Toulouse, France, 7/15/24 - 7/19/24
Publisher Copyright: © Optica Publishing Group 2024, © 2024 The Author(s).