[1] GAO Y S, ZHANG B B, CHENG J B et al. Influence of flow rate distribution on combustion instability of hypergolic propellant[J]. Aerospace, 9, 543(2022).

[2] DAS S K, CHATTERJEE D. Introduction to two-phase flow—flow patterns and maps[M]. Vapor Liquid Two Phase Flow and Phase Change, 1-22(2023).

[3] FU M X, ZHU X Y, ZHANG L et al. Method of particle field reconstruction in light field particle image velocimetry based on deep residual neural networks[J]. Acta Optica Sinica, 44, 1612001(2024).

[4] QIN Z Y, ZHENG D S, ZHOU Y C et al. Inpainting PIV flow fields with deep learning[J]. Journal of Propulsion Technology, 43, 330-337(2022).

[5] XU J, YUE D M, DENG S M et al. A particle image velocimetry method based on Transformer[C], 6(2024).

[6] BILAL M, TIAN Z Y. Recent development and applications of particle image velocimetry from laboratory to industry[J]. Acta Photonica Sinica, 52, 0352103(2023).

     BILAL M, 田振玉. 粒子图像测速技术:从实验室到工业应用的进展[J]. 光子学报, 52, 0352103(2023).

[7] MENG Z Z, HU L S, SHEN Y et al. Experimental study on landslide generated waves based on improved PIV technique[J]. Advances in Science and Technology of Water Resources, 44, 30-36(2024).

[8] TIAN Y, HUANG S D. Simultaneous measurements of large- and small-scale flow properties in turbulent convection by cross-correlation based optical flow velocimetry[J]. Acta Aerodynamica Sinica, 40, 215-222(2022).

[9] SHAN L, JIAN J, XIONG J Z et al. Optimization method of optical flow pyramid interpolation for particle image velocimetry[J]. Acta Photonica Sinica, 53, 0312002(2024).

[10] GUO C Y, FAN Y W, HAN Y et al. Automatic mask and velocity field calculation of particle image velocimetry based on optical flow convolution network[J]. Journal of Ship Mechanics, 28, 379-391(2024).

[11] LEE Y, GU F Q, GONG Z Y et al. Surrogate-based cross-correlation for particle image velocimetry[J]. Physics of Fluids, 36, 087157(2024).

[12] LIANG X X, LIU C, HE Y Y et al. A hybrid algorithm for particle image velocity measurement based on cross-correlation with optical flow pyramid[J]. Laser & Optoelectronics Progress, 62, 1212002(2025).

[13] CHEN J L, DING H Y, HU H B et al. Research on real-time display of flow field based on optical flow algorithm[J/OL]. Journal of Experiments in Fluid Mechanics, 1-10. http://kns.cnki.net/kcms/detail/11.5266.V.20241022.1005.002.html.

[14] XU H X, WANG J P, ZHANG Y et al. Subgrid variational optimized optical flow estimation algorithm for image velocimetry[J]. Sensors, 23, 437(2022).

[15] ZHANG W, NIE X Y, DONG X et al. Pyramidal deep-learning network for dense velocity field reconstruction in particle image velocimetry[J]. Experiments in Fluids, 64, 12(2023).

[16] HU T, CHEN J G, QIAO L L. Optimization and correction of breast dynamic optical imaging projection data based on deep learning[J]. Computational Biology and Chemistry, 113, 108259(2024).

[17] ALSHAMMARI A, ALOTAIBI S D, HASSAN A Q A et al. Applied linguistics with deep learning-based data-driven text-to-speech synthesizer for Arabic corpus[J]. Fractals, 32, 2540024(2024).

[18] ZHANG Y, KWONG S, XU L et al. Advances in deep-learning-based sensing, imaging, and video processing[J]. Sensors, 22, 6192(2022).

[19] TANG X. Author identification of literary works based on text analysis and deep learning[J]. Heliyon, 10, e25464(2024).

[20] LIU Z B, ZHANG S, BAO Y et al. Progress of application research on cheminformatics in deep learning[J]. Chinese Journal of Applied Chemistry, 40, 360-373(2023).

[21] KONG D M, HE S W, LI X Y et al. Classification method for petroleum pollutants based on Inception-one-dimensional convolutional neural network and infrared spectroscopy[J]. Chinese Journal of Analytical Chemistry, 52, 1287-1297(2024).

[22] ZHENG Y, YANG S Y, WANG T et al. Near infrared spectral analysis based on data augmentation strategy and convolutional neural network[J]. Chinese Journal of Analytical Chemistry, 52, 1266-1276(2024).

[23] XU X L, ZHANG C L, WENG Q P et al. Study on erythrocyte antioxidantion based on machine learning-assisted image recognition[J]. Chinese Journal of Analytical Chemistry, 52, 429-438(2024).

[24] YU C D. Research on particle image velocimetry algorithms based on deep optical flow learning[D](2023).

[25] YU S, HUAN K W, WANG L et al. Multicomponent quantitative analysis model of near infrared spectroscopy based on convolution neural network[J]. Chinese Journal of Analytical Chemistry, 52, 695-705(2024).

[26] YE H Y, LI C C, LIU M et al. Smoke detection method based on dense optical flow and target detection[J]. Electronics Optics and Control, 29, 108-113(2022).

[27] CAO L X. Particle image velocimetry based on light field imaging[D](2022).