Distortion correction for particle image velocimetry using multiple-input deep convolutional neural network and Hartmann-Shack sensing-Reference-Cited by-同舟云学术

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Distortion correction for particle image velocimetry using multiple-input deep convolutional neural network and Hartmann-Shack sensing

Published:2021-06-02 Issue:12 Volume:29 Page:18669
ISSN:1094-4087
Container-title:Optics Express
language:en
Short-container-title:Opt. Express

Author:

Gao Zeyu^ORCID,Radner Hannes^ORCID,Büttner Lars,Ye Hongwei,Li Xinyang,Czarske Jürgen

Funder

Deutsche Forschungsgemeinschaft

Deutscher Akademischer Austauschdienst

Allianz Industrie Forschung

Publisher

The Optical Society

Subject

Atomic and Molecular Physics, and Optics

Reference42 articles.

1. Influence of inhomogeneous refractive index fields on particle image velocimetry

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Flow Field Estimation with Distortion Correction Based on Multiple Input Deep Convolutional Neural Networks and Hartmann–Shack Wavefront Sensing;Photonics;2024-05-11

2. Micro-Scale Particle Tracking: From Conventional to Data-Driven Methods;Micromachines;2024-05-08

3. Compressed Sensing Image Reconstruction with Fast Convolution Filtering;Photonics;2024-03-30

4. AI-driven projection tomography with multicore fibre-optic cell rotation;Nature Communications;2024-01-02

5. The effect of curvature distortion on internal flow measurement of a levitated droplet using PIV;Journal of Visualization;2023-11-04

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