Ms. Yuanyuan Zhou Profile

Yuanyuan Zhou

at Huayin Ordnance Test Ctr.

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Author

Publications (5)

Proceedings Article | 18 March 2024 Paper

Target anti-jamming acquisition method based on machine vision classification technology

Qiuping Hu, Yuanyuan Zhou, Yu Wang, Hua Zhang, Zili Tang

Proceedings Volume 13104, 131044H (2024) https://doi.org/10.1117/12.3023584

KEYWORDS: Target detection, Tunable filters, Target recognition, Image segmentation, Digital filtering, Image filtering, Linear filtering, Object detection, Decision trees, Target acquisition

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Proceedings Article | 18 March 2024 Paper

A data processing method of photon counting LIDAR for high-speed moving targets

Wenwu Jia, Wenze Cai, Sanxi Zhang, Yuanyuan Zhou, Tao Sun

Proceedings Volume 13104, 131043V (2024) https://doi.org/10.1117/12.3023534

KEYWORDS: Target detection, Pulsed laser operation, Photon counting, Pulse signals, Signal detection, Data processing, Ranging, Detection and tracking algorithms, Signal to noise ratio

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Proceedings Article | 10 May 2023 Paper

Consistency analysis method of optical multispectral imaging based on wake simulation

Qiuping Hu, Yu Wang, Hua Zhang, Bin Li, Biao Liu, Yuanyuan Zhou

Proceedings Volume 12554, 1255416 (2023) https://doi.org/10.1117/12.2652156

KEYWORDS: Rockets, Visible radiation, Image segmentation, Combustion, Multispectral imaging, Imaging systems, Computer simulations, Long wavelength infrared, Numerical simulations, Medium wave

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In the field of conventional weapon test and identification, optical measurement is often used to measure the exterior ballistic parameters of targets. With the variety of measuring equipment and measuring bands such as visible light/medium-wave/long-wave, the profile/shape and radiation/luminance distribution of the exhaust plume target imaging in the optical measurement system are great different, so that the target interpretation position changes greatly with the change of the exhaust plume .The variation of the plume depends on the flight state of the weapon system, inmost cases there is no prior data support, we judge by the experience of the surveyors, so this processing mode affects the credibility of the measurement data, especially in the case of high precision requirements such as characteristic parameter and miss distance processing. Aiming at the Consistency problem of multispectral imaging data of the exhaust plume target, using the inversion imaging method of fluid numerical simulation to characterize the multispectral imaging of the weapon system under various flight states, and theoretically evaluate the imaging deviation. Whether this method is feasible depends on accuracy of the wake simulation calculation meets the actual needs. For this reason, the wake combustion products and their components of a certain type of rocket are studied. Based on the plume component analysis, establish a plume directional radiation calculation model. Through the close acquisition of the visible light/ medium-wave/long-wave images in the initial stage of the rocket, the profile characteristic parameters are compared with the simulated radiation images obtained by numerical simulation. The results show that ,the main body of the exhaust plume edge error is located within ± 20%, and the comparison result in the core area of the exhaust plume is better than ±10%,so the profile data of the core area can be used as the reference for consistency analysis. This method breaks through the current situation of systematic error estimation based on experience in theory, and has high guiding significance for the evaluation of the processing accuracy of external ballistic test data.

Proceedings Article | 12 March 2021 Paper

Research on anti-occlusion and anti-deformation tracking based on background prediction and progressive detection

Zili Tang, Yuanyuan Zhou, Bo Zhang, Tiejun Zhou, Zhizheng Zhang, Haiying Wu

Proceedings Volume 11763, 117632M (2021) https://doi.org/10.1117/12.2586401

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Proceedings Article | 12 March 2021 Paper

Design and implementation of image sample management database

Yuanyuan Zhou, Zili Tang, Bo Zhang, Tiejun Zhou, Yinghui Wen, Haiying Wu

Proceedings Volume 11763, 117632L (2021) https://doi.org/10.1117/12.2586398

KEYWORDS: Databases, Image storage, Computer simulations, Data conversion, Image processing, Sensors, Associative arrays, Visualization, Image sensors, Image retrieval

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