Ms. Yanli Liu Profile

Yanli Liu

at Beijing Institute of Technology

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Author

Publications (12)

Proceedings Article | 4 April 2023 Paper

A lightweight snapshot computational spectral imager

Yanli Liu, Libing Jin, Haibo Zhao, Fang Xue, Lisha Zhang, Hongyan Deng

Proceedings Volume 12617, 126177G (2023) https://doi.org/10.1117/12.2666846

KEYWORDS: Imaging systems, Imaging spectroscopy, Spectroscopy, Prisms, Computing systems, Spectral resolution, Photomasks, Calibration, Optical design, Chromatic aberrations

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Proceedings Article | 4 April 2023 Paper

Single frame detection of small targets in hyperspectral images

Hongyan Deng, Yanli Liu, Fang Xue, Lisha Zhang, Yun Su, Guoxian Zheng

Proceedings Volume 12617, 126173T (2023) https://doi.org/10.1117/12.2666139

KEYWORDS: Target detection, Small targets, Hyperspectral imaging, Hyperspectral target detection

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Proceedings Article | 27 March 2022 Paper

Aperture-scanning Fourier ptychography for super-resolution macroscopic imaging

Yechao Wang, Xiaoli Chen, Yun Su, Guoxian Zheng, Yanli Liu, Fang Xue, Jingjing Ge, Xiaoming Zhong

Proceedings Volume 12169, 121693S (2022) https://doi.org/10.1117/12.2623810

KEYWORDS: Imaging systems, Reconstruction algorithms, Imaging technologies, Super resolution, Cameras, Image resolution, Remote sensing, Image processing, Fourier transforms, Device simulation

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Proceedings Article | 27 March 2022 Paper

Computational spectral imaging technology with high light utilization for space target detection

Yanli Liu, Libing Jin, Haibo Zhao, Xiaoming Zhong, Fang Xue, Yechao Wang

Proceedings Volume 12169, 121693O (2022) https://doi.org/10.1117/12.2623797

KEYWORDS: Target detection, Satellites, Target recognition, Imaging spectroscopy, Spectroscopy, Imaging systems, Space operations

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Proceedings Article | 5 November 2020 Paper

Diffractive optical imaging spectrometer with reference channel

Haibo Zhao, Yanli Liu, Xiaojie Yu, Jing Xu, Yechao Wang, Lisha Zhang, Xiaoming Zhong, Fang Xue, Quansen Sun

Proceedings Volume 11566, 115660S (2020) https://doi.org/10.1117/12.2580407

KEYWORDS: Imaging systems, Diffraction, Spectroscopy, Multichannel imaging systems, Imaging spectroscopy, Demodulation, Optical imaging, Signal detection

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Proceedings Article | 5 November 2020 Paper

Research on snapshot infrared computational spectral imaging technology

Yanli Liu, Haibo Zhao, Dunliang Shen, Jing Xu, Fang Xue, Xiaoming Zhong, Xiaojie Yu

Proceedings Volume 11563, 115630Q (2020) https://doi.org/10.1117/12.2580389

KEYWORDS: Infrared radiation, Infrared imaging, Imaging spectroscopy, Sensors, Infrared spectroscopy, Spectroscopy, Imaging systems, Infrared sensors, Prisms

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Proceedings Article | 5 November 2020 Paper

New spectral polarization imaging system based on optical fiber imaging

Haibo Zhao, Yanli Liu, Xiaojie Yu, Jing Xu, Yechao Wang, Lisha Zhang, Xiaoming Zhong, Fang Xue

Proceedings Volume 11567, 115674F (2020) https://doi.org/10.1117/12.2580378

KEYWORDS: Polarization, Imaging systems, Optical fibers, Sensors, Optical imaging, Target detection, Spectrometers

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Proceedings Article | 5 November 2020 Paper

Dual channel snapshot compressive spectral polarization imaging technology

Yanli Liu, Haibo Zhao, Dunliang Shen, Yechao Wang, Xiaoming Zhong, Xiaojie Yu, Jing Xu

Proceedings Volume 11566, 115660O (2020) https://doi.org/10.1117/12.2580127

KEYWORDS: Polarization, Sensors, Reconstruction algorithms, Imaging systems, Imaging technologies, Image quality, Spectral resolution, Polarizers, Optical engineering

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The spectral polarization imager can detect the spectral polarization information of the target reflection or radiated light that cannot be obtained by ordinary optical instruments. The obtained spectral polarization image can provide richer target information than the intensity image and the spectral image. At the same time, being able to achieve snapshot imaging and improve the spectral resolution is the research and development direction of polarization spectrum imaging technology. In this paper, we present a dual channel snapshot compressive spectral polarization imaging technique for simultaneous acquisition of two-dimensional intensity information, one-dimensional spectral information, and four-dimensional polarization information of a target in visible range. One channel is based on a coded mask and micro-polarizer array, and one channel is based on a pixel-level polarizer array detector. The main optical path replaces the ordinary detector with a micro-polarizer array based on CASSI. The micro-polarizer array consists of 0°, 45°, 90°, and 135° linear micro-polarizers regularly distributed, and each pixel matches the pixel of the detector. The three Stokes parameters of the scene are compressed and sensed, and a four-dimensional (4D) data cube is projected onto a two-dimensional (2D) focal plane. Through nonlinear optimization with sparsity constraints, a 4D spectral polarization data cube is reconstructed from 2D measurements. The addition of a pixel-level polarizer array detector helps to improve the measurement accuracy of spectral information and polarization information. Optical experimental results confirm that the architecture reduces the total number of measurements required to obtain a spectrally polarized image compared to traditional acquisition methods. The dual channel combination enables simultaneous acquisition of spectral and polarization information, and improves the quality of reconstructed image based on compressed sensing algorithm. A dual-channel experimental device with coded aperture spectral polarization imaging channel and polarization imaging channel was set up to obtain spectral data cubes with 4 polarization states in 25 bands in the range of 450nm-650nm, and the polarization degree and polarization angle of each band. The spectral resolution was better than 10nm, and the spectral restoration accuracy was about 86.3%. Compared with the single-channel imaging method, the spectral reconstruction accuracy was improved by 10.5%.This has guiding significance for the design and research of light and miniaturized hyperspectral polarization imagers in the future. It is expected to be widely used in astronomical observation, atmospheric detection, biomedical diagnosis, earth environment monitoring, target detection and identification and other fields.

Proceedings Article | 12 December 2018 Paper

Simulation and experiment of diffractive optic imaging spectrometer

Haibo Zhao, Yanli Liu, Lei Feng, Fangqi Li, Mingqi Zhang

Proceedings Volume 10846, 108461C (2018) https://doi.org/10.1117/12.2504670

KEYWORDS: Spectroscopy, Imaging systems, Demodulation, Point spread functions, Diffractive optical elements, Prototyping, Calibration, Optical components, Visible radiation, Remote sensing

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Proceedings Article | 7 November 2018 Paper

Snapshot diffractive computational imaging spectroscopy

Yun Su, Yanli Liu, Haibo Zhao, Jianchao Jiao, Quansen Sun, Jianxin Li

Proceedings Volume 10832, 108321V (2018) https://doi.org/10.1117/12.2512033

KEYWORDS: Spectroscopy, Imaging systems, Sensors, Imaging spectroscopy, Cameras, Imaging technologies, Diffractive optical elements, Computational imaging, Hyperspectral imaging, Optical components

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Proceedings Article | 10 August 2015 Paper

Video imagers with low speed CCD and LC based on temporal compressed

Xiaoming Zhong, Huan Li, Haibo Zhao, Yanli Liu

Proceedings Volume 9620, 96200B (2015) https://doi.org/10.1117/12.2193508

KEYWORDS: Imaging systems, Video, Video compression, Liquid crystals, Charge-coupled devices, Sensors, Video processing, Image compression, Image sensors, CCD image sensors

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Proceedings Article | 5 August 2015 Paper

Compressive spectral imaging systems based on linear detector

Yanli Liu, Xiaoming Zhong, Haibo Zhao, Huan Li

Proceedings Volume 9622, 962207 (2015) https://doi.org/10.1117/12.2190522

KEYWORDS: Imaging systems, Sensors, Imaging spectroscopy, Coded apertures, Image sensors, Prisms, Charge-coupled devices, Compressed sensing, Image compression, 3D image processing

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Showing 5 of 12 publications

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