Ms. Xiaohui Gao Profile

Xiaohui Gao

at XIOPM CAS

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Author

Publications (8)

Proceedings Article | 20 January 2023 Paper

Study on the influence of spectral overflow and its correction method of push broom static hadamard transform spectral imager

Yingshu Zhou, Xiaohui Gao, Jie Liu, Xuebin Liu

Proceedings Volume 12558, 1255807 (2023) https://doi.org/10.1117/12.2647236

KEYWORDS: Imaging systems, Sensors, Image processing, Error analysis, Spectral data processing, Imaging spectroscopy, Computer programming, Signal to noise ratio

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Proceedings Article | 24 November 2021 Paper

Automatic checkerboard corner detection combined with gray features and energy minimization (ADGE)

YuanZhang Wang, Xiaohui Gao

Proceedings Volume 12065, 1206507 (2021) https://doi.org/10.1117/12.2601236

KEYWORDS: Corner detection, Calibration, Detection and tracking algorithms, Cameras, Image processing, MATLAB, Distortion, Light sources and illumination, Convolution, Machine vision

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Proceedings Article | 9 August 2018 Paper

A low light SCMOS imaging system based on FPGA

Dong Mao, Haibing Leng, Wenpeng Wei, Hongbo Li, Xiaohui Gao

Proceedings Volume 10806, 108063O (2018) https://doi.org/10.1117/12.2503122

KEYWORDS: Image enhancement, Image sensors, Imaging systems, Field programmable gate arrays, Cameras, Automatic exposure, Automatic control, Image processing, Image quality, Sensors

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Proceedings Article | 11 July 2016 Paper

Experimental verification of the HERD prototype at CERN SPS

Yongwei Dong, Zheng Quan, Junjing Wang, Ming Xu, Sebastiano Albergo, Filippo Ambroglini, Giovanni Ambrosi, Philipp Azzarello, Yonglin Bai, Tianwei Bao, Luca Baldini, Roberto Battiston, Paolo Bernardini, Zhen Chen, Raffaello D'Alessandro, Matteo Duranti, Domenico D'Urso, Piergiorgio Fusco, Jiarui Gao, Xiaohui Gao, Fabio Gargano, Nicola Giglietto, Bingliang Hu, Ran Li, Yong Li, Xin Liu, Francesco Loparco, Junguang Lu, Giovanni Marsella, Mario Mazziotta, Ivan De Mitri, Nicola Mori, Silvio Orsi, Adriani Oscar, Mark Pearce, Martin Pohl, Felix Ryde, Dalian Shi, Piero Spillantini, Meng Su, Xin Sun, Antonio Surdo, Roland Walter, Bo Wang, Le Wang, Ruijie Wang, Zhigang Wang, Bobing Wu, Xin Wu, Peng Yan, Li Zhang, Shuangnan Zhang

Proceedings Volume 9905, 99056D (2016) https://doi.org/10.1117/12.2231804

KEYWORDS: Particles, Spatial resolution, Gamma radiation, Electrons, Chromium, Polarization, Wind energy, Photons, Point spread functions, Sensors

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Proceedings Article | 5 November 2015 Paper

Design and research of spectropolarimetric system based on Sagnac interferometer

Tao Yu, Bingliang Hu, Zhoufeng Zhang, Xiaohui Gao, Ruyi Wei, Qijing Wu

Proceedings Volume 9795, 97951R (2015) https://doi.org/10.1117/12.2216127

KEYWORDS: Polarization, Sagnac interferometers, Imaging systems, Target detection, Imaging spectroscopy, Remote sensing, Target recognition, Sensors, Optical design, Energy efficiency

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Proceedings Article | 31 July 2014 Paper

The high energy cosmic-radiation detection (HERD) facility onboard China's Space Station

S. N. Zhang, O. Adriani, S. Albergo, G. Ambrosi, Q. An, T. W. Bao, R. Battiston, X. J. Bi, Z. Cao, J. Y. Chai, J. Chang, G. M. Chen, Y. Chen, X. H. Cui, Z. G. Dai, R. D'Alessandro, Y. W. Dong, Y. Z. Fan, C. Q. Feng, H. Feng, Z. Y. Feng, X. H. Gao, F. Gargano, N. Giglietto, Q. B. Gou, Y. Q. Guo, B. L. Hu, H. B. Hu, H. H. He, G. S. Huang, J. Huang, Y. F. Huang, H. Li, L. Li, Y. G. Li, Z. Li, E. W. Liang, H. Liu, J. B. Liu, J. T. Liu, S. B. Liu, S. M. Liu, X. Liu, J. G. Lu, M. Mazziotta, N. Mori, S. Orsi, M. Pearce, M. Pohl, Z. Quan, F. Ryde, H. L. Shi, P. Spillantini, M. Su, J. C. Sun, X. L. Sun, Z. C. Tang, R. Walter, J. C. Wang, J. M. Wang, L. Wang, R. J. Wang, X. L. Wang, X. Y. Wang, Z. G. Wang, D. M. Wei, B. B. Wu, J. Wu, X. Wu, X. F. Wu, J. Q. Xia, H. L. Xiao, H. H. Xu, M. Xu, Z. Z. Xu, H. R. Yan, P. F. Yin, Y. W. Yu, Q. Yuan, M. Zha, L. Zhang, L. Y. Zhang, Y. Zhang, Y. J. Zhang, Y. L. Zhang, Z. G. Zhao

Proceedings Volume 9144, 91440X (2014) https://doi.org/10.1117/12.2055280

KEYWORDS: Gamma radiation, Space telescopes, Atmospheric Cherenkov telescopes, Electrons, Space operations, Telescopes, Crystals, Particles, Physics, Astronomy

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Proceedings Article | 24 July 2014 Paper

Research on ICCD for space observation of cosmic ray and dark matter

Bingliang Hu, Xiaohui Gao, Le Wang, Haifeng Pi, Cuiyu Wei

Proceedings Volume 9144, 91443R (2014) https://doi.org/10.1117/12.2055690

KEYWORDS: Imaging systems, Charge-coupled devices, Optical fibers, Fiber optics, Prototyping, Photons, Diffusion, Image intensifiers, Ultrafast imaging, Interference (communication)

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Proceedings Article | 30 August 2013 Paper

The generating mechanism of strips and destriping algorithm of HJ-1A Hyperspectral Image

Xiao-hui Gao, Guang-hui Xu, Tao Yu, Ru-yi Wei

Proceedings Volume 8910, 89101U (2013) https://doi.org/10.1117/12.2034763

KEYWORDS: Spectrometers, Hyperspectral imaging, Remote sensing, Sensors, Image processing, Interferometers, Image sensors, Calibration, Shortwaves, Imaging spectroscopy

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Hyperspectral remote sensing images are affected by different types of noise. In addition to typical random noise, nonperiodic partially deterministic disturbance patterns appear in the data. The strips usually found in images acquired by push-broom sensors, which are characterized by a high degree of spatial and spectral coherence. Many strips-reduction approaches such as histogram matching and moment matching have been developed. These methods assume that all sensor elements observe similar subscenes in a given image and adjust the distributions of values acquired by each sensor to some reference distribution by means of a histogram or moment matching, but this assumption usually is failure in many scenes which contain diverse materials. The formation of strips has close connection with the image formation process of push-broom imaging spectrometers. Many causes such as the uniformity of the pixels, the push-broom mode and the asymmetric width of thin slit at the entrance of imaging spectrometers can induce the strips in the images. Comparing with the dispersive spectrometers, interferometer spectrometers acquire the interference data, obtaining the spectrum by using the Fast Fourier Transformation (FFT). By analyzing the generating mechanism of strips in push-broom interferometer imaging spectrometers, we proposed an approach that corrects the strips using relative calibration factor directly computed from the acquired image. Once the relative calibration factor is determined, all the images acquired by the same imaging spectrometers can be corrected. So the methodology is an efficient one to reduce the strips. A formula is set up to describe the connection between gray values of pixels in images and relative calibration factor. The developed methodology is tested on data acquired by HJ-1A Hyperspectral Imaging Spectrometers, which is an interferometer spectrometer put into operation in 2008. The shortwave bands of HJ-1A HSI have severe strips. Results show excellent rejection of the noise with respect to the original HJ-1A HSI images, improving the removal in those scenes with diverse materials as well as being high efficient.

Showing 5 of 8 publications

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