Mr. Bin Li Profile

Bin Li

at Huayin Ordance Test Ctr

SPIE Involvement:

Author

Publications (9)

Proceedings Article | 6 November 2023 Paper

Design and development of a long wave infrared imaging spectrometer based on filter and high-precision runner

Gang Liu, Bin Li, Hai Ying Wu, Weiqiang Wang, Yu Wang

Proceedings Volume 12921, 1292119 (2023) https://doi.org/10.1117/12.2688258

KEYWORDS: Tunable filters, Infrared imaging, Imaging systems, Spectroscopy, Long wavelength infrared, Infrared spectroscopy, Infrared radiation

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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 | 18 March 2021 Paper

Data acquisition and processing method of equipment radiation characteristics of MWIR

Bin Li, Lei Su, Chuanling Liu, Gang Liu, Yu Wang, Qiuping Hu, Xiaolong Rong, Weiqiang Wang, Haiying Wu, Le Zhang

Proceedings Volume 11780, 117801A (2021) https://doi.org/10.1117/12.2590567

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Proceedings Article | 12 December 2018 Paper

Exhaust plume warning method based on modeling of infrared characteristics and motion features

Bin Li, Qiuping Hu, Gang Liu, Xin Wang, Hua Zhang

Proceedings Volume 10846, 1084633 (2018) https://doi.org/10.1117/12.2505651

KEYWORDS: Infrared radiation, Infrared imaging, Target detection, Infrared detectors, Missiles, Imaging systems, Image processing, Thermal modeling, Motion analysis, Target recognition

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Proceedings Article | 12 December 2018 Paper

Fast playback technique of key sequence diagram based on mixed gauss background modeling and super compression

Yu Wang, Bin LI, Xin Wang, Pengzu Liu, Zhiqiang Zhou

Proceedings Volume 10846, 1084630 (2018) https://doi.org/10.1117/12.2505631

KEYWORDS: High speed cameras, Data modeling, Video coding, Copper, Image segmentation, Target detection, Data acquisition, Video, RGB color model, Video surveillance

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