Dr. Shuang Wang Profile

Dr. Shuang Wang

Student at Xi’an Institute of Optics and Precision Mechanics

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Publications (6)

Proceedings Article | 9 August 2018 Paper

A study on classification of mineral pigments based on spectral angle mapper and decision tree

Cheng Fan, Pengchang Zhang, Shuang Wang, Bingliang Hu

Proceedings Volume 10806, 108065Z (2018) https://doi.org/10.1117/12.2503088

KEYWORDS: Minerals, Library classification systems, Hyperspectral imaging, Machine learning, Image classification, Spectroscopy, Distance measurement

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Proceedings Article | 1 November 2016 Paper

Design of infrared signal processing system based on ZYNQ platform

Zhuoyu Bai, Haibing Leng, Bingliang Hu, Shuang Wang

Proceedings Volume 10157, 101572N (2016) https://doi.org/10.1117/12.2246949

KEYWORDS: Signal processing, Infrared radiation, Infrared imaging

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Proceedings Article | 25 October 2016 Paper

Dehazing method for hyperspectral remote sensing imagery with hyperspectral linear unmixing

Yuquan Gan, Bingliang Hu, Desheng Wen, Shuang Wang

Proceedings Volume 10156, 1015613 (2016) https://doi.org/10.1117/12.2246656

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SPIE Journal Paper | 9 March 2015

Data correction techniques for the airborne large-aperture static image spectrometer based on image registration

Geng Zhang, Dalian Shi, Shuang Wang, Tao Yu, Bingliang Hu

JARS, Vol. 9, Issue 01, 095088, (March 2015) https://doi.org/10.1117/12.10.1117/1.JRS.9.095088

KEYWORDS: Spectroscopy, Data corrections, Image registration, Signal to noise ratio, Hyperspectral imaging, Interferometers, Distortion, Error analysis, Satellite navigation systems, Image visualization

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Proceedings Article | 30 August 2013 Paper

Effect of the fringe visibility on spectrum SNR of Fourier transform imaging spectrometer

Shuang Wang, Xiangli Bin, Juanjuan Jing, Haifeng Pi

Proceedings Volume 8910, 89100W (2013) https://doi.org/10.1117/12.2032912

KEYWORDS: Visibility, Signal to noise ratio, Interference (communication), Spectroscopy, Fourier transforms, Fringe analysis, Data processing, Staring arrays, Computer simulations, Sagnac interferometers

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The principle of Fourier transform spectrometer is based on the relationship of Fourier-Transform between interferogram and spectrum. The spectral information of Fourier transform imaging spectrometer (FTIS) reconstructed from raw interferogram by data processing. So there are two kinds of signal-to-noise ratio (SNR) to evaluate instrument performance, one regarding interferogram and the other regarding reconstructed spectrum. Because the raw interferogram is intuitive, the interferogram SNR is studied usually. On the contrary, the spectrum SNR is studied less because of the complexity of the data processing from interferogram to spectrum. The research about the effect of the interference fringe visibility on the spectrum SNR is especially few. This paper present a research work on the relations between the interference fringe visibility and the spectrum SNR. Firstly, the reduction of fringe visibility caused by imaging lens defocus was analyzed. Secondly, the changes of the average spectrum signal and noise caused by the reduction of fringe visibility were calculated. For average spectrum signal, the math deductions are done base on Fourier transform theory. The average noise with different input signal optic-electrons number are simulated. the results show that the average spectrum signal is directly proportional to the fringe visibility, and the effect of fringe visibility on the noise related to signal can be ignorable. Finally, In order to demonstrate above results, the imaging experiment was done with white-light source, using LASIS (Large aperture static imaging spectrometer) based on Sagnac Interferometer. The average spectrum SNRs under different fringe visibility are calculated and analyzed. The experimental results show that: the average spectrum SNRs increase from 42.7 to 62.4.along with the fringe visibility increasing from 0.5051 to 0.687. the reconstructed spectrum SNR is directly proportional to the fringe visibility. As a result, the interferogram fringe visibility can be used to estimate the reconstructed spectrum SNR, and evaluate the performance of FTIS before data processing.

Proceedings Article | 30 August 2013 Paper

Calibration and correction of the CCD spectral response nonuniformity for Fourier transform imaging spectrometer

Dalian Shi, Xuebin Liu, Shuang Wang, Juanjuan Jing, Desheng Wen, Qinglan Bai

Proceedings Volume 8910, 89101C (2013) https://doi.org/10.1117/12.2034271

KEYWORDS: Charge-coupled devices, Calibration, Spectroscopy, Fourier transforms, Error analysis, Spectral calibration, Distortion, Sensors, Back illuminated sensors, Reflectivity

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Showing 5 of 6 publications

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