Ms. Huijie Du Profile

Huijie Du

at Beijing Simulation Ctr

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Publications (10)

Proceedings Article | 12 December 2018 Paper

Hardware-in-the-loop simulationsystem for dual-star-sensor

Ying Zhang, Huijie Du, Yang Gao, Guohong Wang, Huiyang Qu

Proceedings Volume 10846, 108461T (2018) https://doi.org/10.1117/12.2505181

KEYWORDS: Computer simulations, Navigation systems, Collimation, Star sensors

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Proceedings Article | 24 October 2017 Paper

Modeling and simulation of celestial background for dual-star-sensor testing

Ying Zhang, Dongfang Liu, Huijie Du, Yu Zhang, Yang Gao, Huiyang Qu

Proceedings Volume 10462, 104624F (2017) https://doi.org/10.1117/12.2285539

KEYWORDS: Modeling and simulation

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Proceedings Article | 25 October 2016 Paper

Research on starlight hardware-in-the-loop simulator

Ying Zhang, Yang Gao, Huiyang Qu, Dongfang Liu, Huijie Du, Jie Lei

Proceedings Volume 10156, 101561T (2016) https://doi.org/10.1117/12.2247363

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Proceedings Article | 22 September 2015 Paper

Research of improved sparse grid non-uniformity correction technologies for infrared resistor array

Hui-jie Du, Hong-ming Zhao, Yang Gao, Hong Yu, Yi Zhang

Proceedings Volume 9599, 95991S (2015) https://doi.org/10.1117/12.2186547

KEYWORDS: Nonuniformity corrections, Resistors, Infrared radiation, Infrared imaging, Infrared technology, Cameras, Software development, Imaging infrared seeker, MATLAB, Image quality

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Proceedings Article | 3 September 2015 Paper

Complex visible scene projection technology

Hong Yu, Yang Gao, Yi Zhang, Jindong Fei, Huijie Du, Jian Du, Ying Zhang, Hongming Zhao

Proceedings Volume 9578, 95780O (2015) https://doi.org/10.1117/12.2185913

KEYWORDS: LCDs, Optical fibers, Stars, Prisms, Projection systems, Collimation, Imaging systems, Optical spheres, Polarizers, Lenses

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Proceedings Article | 3 December 2014 Paper

Visualization for starlight navigation simulation

Ying Zhang, Zhaowei Yang, Yi Zhang, Hong Yu, Huijie Du, Yang Gao, Jie Lei

Proceedings Volume 9297, 92972A (2014) https://doi.org/10.1117/12.2075990

KEYWORDS: Stars, Star sensors, Computer simulations, Visualization, OpenGL, Image sensors, Space operations, Scene simulation, Computing systems, Navigation systems

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Proceedings Article | 26 October 2013 Paper

Resistor array infrared nonuniformity correction based on sparse grid

Xudong He, Jiang Qiu, Qiao Zhang, Huijie Du, Hongming Zhao

Proceedings Volume 8917, 89170P (2013) https://doi.org/10.1117/12.2030971

KEYWORDS: Resistors, Nonuniformity corrections, Infrared radiation, Projection systems, Infrared imaging, Hardware in the loop testing, Aerospace engineering, Control systems, Floods, Image processing

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Proceedings Article | 19 September 2013 Paper

Improved phase retrieval algorithm for optical imaging systems

Shun Qin, Xinqi Hu, Bing Dong, Hongming Zhao, Huijie Du, Hong Yu

Proceedings Volume 8905, 890517 (2013) https://doi.org/10.1117/12.2033703

KEYWORDS: Magnesium, Phase retrieval, Wavefront sensors, High dynamic range imaging, Computer simulations, Wavefronts, Imaging systems, Algorithm development, Optical imaging, James Webb Space Telescope

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Proceedings Article | 11 September 2013 Paper

The simulation of turbulence effect based on the technology of optical wavefront control

Hongming Zhao, Jindong Fei, Huijie Du, Hong Yu, Jian Du, Xinqi Hu, Bing Dong

Proceedings Volume 8907, 89071W (2013) https://doi.org/10.1117/12.2032833

KEYWORDS: Wavefronts, Atmospheric optics, Adaptive optics, Deformable mirrors, Turbulence, Geometrical optics, Astronomical imaging, Control systems, Wavefront sensors, Atmospheric turbulence

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In the process of high-resolution astronomical observation and space optical mapping, the wavefront aberrations caused by atmosphere turbulence effect lead to reduced resolution of optical imaging sensor. Firstly, on the base of influence of atmosphere turbulence effect for the optical observation system, this paper investigates and analyses the development and technical characteristics of deformable mirror, which is the key device of optical wavefront control technology. In this part, the paper describes the basic principles of wavefront control and measurement using the current production line of deformable mirror, including micro-electromechanical systems (MEMS) deformable mirror which is one of the most promising technology for wavefront modulation and Shack-Hartmann wavefront sensors. Secondly, a new method based on the technology of optical wavefront control and the data of optical path difference (OPD) for simulating the effect of optical transmission induced by turbulence is presented in this paper. The modeling and characteristics of atmosphere turbulence effect applied for optical imagery detector of astronomical observation and space optical mapping has been obtained. Finally, based on the theory model of atmosphere turbulence effects and digital simulation results, a preliminary experiment was done and the results verify the feasibility of the new method. The OPD data corresponding to optical propagation effect through turbulent atmosphere can be achieved by the calculation based on the method of ray-tracing and principle of physical optics. It is a common practice to decompose aberrated wavefronts in series over the Zernike polynomials. These data will be applied to the drive and control of the deformable mirror. This kind of simulation method can be applied to simulate the optical distortions effect, such as the dithering and excursion of light spot, in the space based earth observation with the influence of turbulent atmosphere. With the help of the optical wavefront control technology, the optical sensor and ability of space optical detection system for correcting the target image blurred by turbulence of atmosphere can be tested and evaluated in the laboratory.

Proceedings Article | 11 September 2013 Paper

Dynamic simulation for distortion image with turbulence atmospheric transmission effects

Huijie Du, Jindong Fei, Duzheng Qing, Hongming Zhao, Hong Yu, Chen Cheng

Proceedings Volume 8907, 89071V (2013) https://doi.org/10.1117/12.2032832

KEYWORDS: Image transmission, Distortion, Infrared radiation, Image sensors, Infrared imaging, Atmospheric modeling, Computer simulations, Image processing, Atmospheric propagation, Atmospheric optics

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The imaging through atmospheric turbulence is an inevitable problem encountered by infrared imaging sensors working in the turbulence atmospheric environment. Before light-rays enter the window of the imaging sensors, the atmospheric turbulence will randomly interfere with the transmission of the light waves came from the objects, causing the distribution of image intensity values on the focal plane to diffuse, the peak value to decrease, the image to get blurred, and the pixels to deviate, and making image identification very difficult. Owing to the fact of the long processing time and that the atmospheric turbulent flow field is unknown and hard to be described by mathematical models, dynamic simulation for distortion Image with turbulence atmospheric transmission effects is much more difficult and challenging in the world. This paper discusses the dynamic simulation for distortion Image of turbulence atmospheric transmission effect. First of all, with the data and the optical transmission model of the turbulence atmospheric, the ray-tracing method is applied to obtain the propagation path of optical ray which propagates through the high-speed turbulent flow field, and then to calculate the OPD from the reference wave to the reconverted wave front and obtain the point spread function (PSF). Secondly, infrared characteristics models of typical scene were established according to the theory of infrared physics and heat conduction, and then the dynamic infrared image was generated by OpenGL. The last step is to obtain the distortion Image with turbulence atmospheric transmission effects .With the data of atmospheric transmission computation, infrared simulation image of every frame was processed according to the theory of image processing and the real-time image simulation, and then the dynamic distortion simulation images with effects of blurring, jitter and shifting were obtained. Above-mentioned simulation method can provide the theoretical bases for recovering the blur images and analyzing the turbulence atmospheric transmission effects.

Showing 5 of 10 publications

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