Ms. Changhai Liu Profile

Changhai Liu

at Xi'an Satellite Control Ctr

SPIE Involvement:

Author

Publications (10)

Proceedings Article | 17 October 2023 Paper

Effectiveness evaluation method of high-orbit infrared remote sensing satellite

Yujun Wan, Jiangkun Wen, Wei Du, Shaoshuai ZhuanSun, Chen Ma, Changhai Liu

Proceedings Volume 12803, 128031J (2023) https://doi.org/10.1117/12.3009594

KEYWORDS: Satellites, Infrared radiation, Design and modelling, Remote sensing, Infrared sensors, Target detection, Reliability, Data processing, Target recognition, Statistical analysis

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Proceedings Article | 7 November 2016 Paper

Gaussian total variation blind restoration of ground-based space object imagery

Shiping Guo, Rongzhi Zhang, Rong Xu, Changhai Liu, Jisheng Li

Proceedings Volume 10141, 1014104 (2016) https://doi.org/10.1117/12.2251735

KEYWORDS: Deconvolution, Point spread functions, Adaptive optics, Satellite imaging, Satellites, Earth observing sensors, Image restoration, Diffusion, Image deconvolution, Anisotropic diffusion

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Proceedings Article | 31 October 2016 Paper

An improved NAS-RIF algorithm for image restoration

Weizhe Gao, Jianhua Zou, Rong Xu, Changhai Liu, Hengnian Li

Proceedings Volume 10021, 1002112 (2016) https://doi.org/10.1117/12.2245337

KEYWORDS: Image restoration, Digital filtering, Image processing algorithms and systems, Image quality, Denoising, Image segmentation, Detection and tracking algorithms, Image processing, Point spread functions, Image analysis

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SPIE Journal Paper | 28 April 2016

Quality metric in matched Laplacian of Gaussian response domain for blind adaptive optics image deconvolution

Shiping Guo, Rongzhi Zhang, Yikang Yang, Rong Xu, Changhai Liu, Jisheng Li

OE, Vol. 55, Issue 04, 043108, (April 2016) https://doi.org/10.1117/12.10.1117/1.OE.55.4.043108

KEYWORDS: Image quality, Deconvolution, Adaptive optics, Satellites, Satellite imaging, Hubble Space Telescope, Image deconvolution, Earth observing sensors, Saturn, Optical engineering

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SPIE Journal Paper | 12 November 2015

Zonal representation–based residual-wavefront reconstruction using multiframe Shack-Hartmann measurements

Shiping Guo, Rongzhi Zhang, Jisheng Li, Jianhua Zou, Rong Xu, Changhai Liu

OE, Vol. 54, Issue 11, 113105, (November 2015) https://doi.org/10.1117/12.10.1117/1.OE.54.11.113105

KEYWORDS: Wavefronts, Adaptive optics, Wavefront sensors, Data modeling, Turbulence, Point spread functions, Telescopes, Phase measurement, Microlens array, Atmospheric optics

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Proceedings Article | 5 August 2015 Paper

Perceptual image quality in normalized LOG domain for Adaptive Optics image post-processing

Shiping Guo, Rongzhi Zhang, Jisheng Li, Jianhua Zou, Changhai Liu, Weizhe Gao

Proceedings Volume 9622, 96221G (2015) https://doi.org/10.1117/12.2195799

KEYWORDS: Image quality, Adaptive optics, Electronic filtering, Satellite imaging, Satellites, Image processing, Image filtering, Deconvolution, Earth observing sensors, Scanning electron microscopy

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Proceedings Article | 19 September 2013 Paper

The simulation of adaptive optical image even and pulse noise and research of image quality evaluation

Changli Wen, Yuannan Xu, Rong Xu, Changhai Liu, Tao Men, Wei Niu

Proceedings Volume 8905, 890508 (2013) https://doi.org/10.1117/12.2031727

KEYWORDS: Image quality, Image analysis, Adaptive optics, Error analysis, Optical telescopes, Optical simulations, Space telescopes, Astronomical engineering, Satellite imaging, Satellites

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As optical image becomes more and more important in adaptive optics area, and adaptive optical telescopes play a more and more important role in the detection system on the ground, and the images we get are so many that we need find a suitable method to choose good quality images automatically in order to save human power, people pay more and more attention in image’s evaluation methods and their characteristics. According to different image degradation model, the applicability of different image’s quality evaluation method will be different. Researchers have paid most attention in how to improve or build new method to evaluate degraded images. Now we should change our way to take some research in the models of degradation of images, the reasons of image degradation, and the relations among different degraded images and different image quality evaluation methods. In this paper, we build models of even noise and pulse noise based on their definition and get degraded images using these models, and we take research in six kinds of usual image quality evaluation methods such as square error method, sum of multi-power of grey scale method, entropy method, Fisher function method, Sobel method, and sum of grads method, and we make computer software for these methods to use easily to evaluate all kinds of images input. Then we evaluate the images’ qualities with different evaluation methods and analyze the results of six kinds of methods, and finally we get many important results. Such as the characteristics of every method for evaluating qualities of degraded images of even noise, the characteristics of every method for evaluating qualities of degraded images of pulse noise, and the best method to evaluate images which affected by tow kinds of noise both and the characteristics of this method. These results are important to image’s choosing automatically, and this will help we to manage the images we get through adaptive optical telescopes base on the ground.

Proceedings Article | 22 October 2010 Paper

Simulation of modal wavefront sensor employed multiplexed holographic optical elements

Changhai Liu, Zongfu Jiang, Shengyang Huang, Haotong Ma, Fengjie Xi

Proceedings Volume 7657, 765707 (2010) https://doi.org/10.1117/12.867245

KEYWORDS: Wavefront sensors, Holography, Sensors, Holograms, Spherical lenses, Diffraction, Wavefronts, Multiplexing, Monochromatic aberrations, Optical simulations

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Proceedings Article | 11 October 2010 Paper

Performance of mode-biased wavefront sensor to detect multiple aberration modes

Changhai Liu, Zongfu Jiang, Shengyang Huang, Haotong Ma, Fengjie Xi

Proceedings Volume 7656, 76560M (2010) https://doi.org/10.1117/12.866939

KEYWORDS: Sensors, Wavefront sensors, Wavefronts, Adaptive optics, Holography, Signal detection, Iris recognition, Confocal microscopy, Monochromatic aberrations, System on a chip

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Proceedings Article | 23 November 2009 Paper

Simulation of the computer-generated holographic modal wave front sensor

Changhai Liu, Zongfu Jiang, Fengjie Xi, Shengyang Huang

Proceedings Volume 7508, 750809 (2009) https://doi.org/10.1117/12.837878

KEYWORDS: Holography, Wavefronts, Wavefront sensors, Sensors, Multiplexing, Binary data, Optical simulations, Holograms, Computer simulations, Modulation

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Showing 5 of 10 publications

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