Deep Learning based Optical Flow Analysis of High-speed Flows

Daniel H. Zhang, Zifeng Yang

Research output: Contribution to conferencePaperpeer-review

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.
Original languageEnglish
StatePublished - 2024
Event2024 Laser Applications to Chemical, Security and Environmental Analysis, LACSEA 2024 - Part of Optica Sensing Congress - Toulouse, France
Duration: Jul 15 2024Jul 19 2024

Conference

Conference2024 Laser Applications to Chemical, Security and Environmental Analysis, LACSEA 2024 - Part of Optica Sensing Congress
Country/TerritoryFrance
CityToulouse
Period7/15/247/19/24

ASJC Scopus Subject Areas

  • General Computer Science
  • Space and Planetary Science
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Instrumentation
  • Atomic and Molecular Physics, and Optics

Disciplines

  • Aerodynamics and Fluid Mechanics
  • Mechanical Engineering

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