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2018 Volume 27 Issue 8
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Li-Juan Su, Qiang-Qiang Yan, Yan Yuan, Shi-Feng Wang, Yu-Jian Liu. 2018: Calibration and data restoration of light field modulated imaging spectrometer, Chinese Physics B, 27(8): 189-196. doi: 10.1088/1674-1056/27/8/080702
Citation: Li-Juan Su, Qiang-Qiang Yan, Yan Yuan, Shi-Feng Wang, Yu-Jian Liu. 2018: Calibration and data restoration of light field modulated imaging spectrometer, Chinese Physics B, 27(8): 189-196. doi: 10.1088/1674-1056/27/8/080702
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Calibration and data restoration of light field modulated imaging spectrometer

  • Key Laboratory of Precision Opto-mechatronics Technology of Ministry of Education, Beihang University, Beijing 100191, China

  • Key Laboratory of Precision Opto-mechatronics Technology of Ministry of Education, Beihang University, Beijing 100191, China;Key Laboratory of Spectral Imaging Technology of Chinese Academy of Sciences, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an 710119, China

  • Available Online: 01/01/2018
  • Fund Project: the National Natural Science Foundation of China(Grant 61307020)%Beijing Natural Science Foundation(Grant 4172038)%the Qingdao Opto-electronic United Foundation, China
  • A light field modulated imaging spectrometer (LFMIS) can acquire the spatial-spectral datacube of targets of interest or a scene in a single shot. The spectral information of a point target is imaged on the pixels covered by a microlens. The pixels receive spectral information from different spectral filters to the diffraction and misalignments of the optical components. In this paper, we present a linear spectral multiplexing model of the acquired target spectrum. A calibration method is proposed for calibrating the center wavelengths and bandwidths of channels of an LFMIS system based on the liner-variable filter (LVF) and for determining the spectral multiplexing matrix. In order to improve the accuracy of the restored spectral data, we introduce a reconstruction algorithm based on the total least square (TLS) approach. Simulation and experimental results confirm the performance of the spectrum reconstruction algorithm and validate the feasibility of the proposed calibrating scheme.
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    沈阳化工大学材料科学与工程学院 沈阳 110142

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Calibration and data restoration of light field modulated imaging spectrometer

  • Available Online: 01/01/2018

Abstract: A light field modulated imaging spectrometer (LFMIS) can acquire the spatial-spectral datacube of targets of interest or a scene in a single shot. The spectral information of a point target is imaged on the pixels covered by a microlens. The pixels receive spectral information from different spectral filters to the diffraction and misalignments of the optical components. In this paper, we present a linear spectral multiplexing model of the acquired target spectrum. A calibration method is proposed for calibrating the center wavelengths and bandwidths of channels of an LFMIS system based on the liner-variable filter (LVF) and for determining the spectral multiplexing matrix. In order to improve the accuracy of the restored spectral data, we introduce a reconstruction algorithm based on the total least square (TLS) approach. Simulation and experimental results confirm the performance of the spectrum reconstruction algorithm and validate the feasibility of the proposed calibrating scheme.

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