• Infrared and Laser Engineering
  • Vol. 51, Issue 5, 20220077 (2022)
Haibo Zhao1、2, Yanli Liu1、2, Wenshuo Yang1、2, Yun Su1、2, Dahua Gao3, Quansen Sun4, and Huijie Zhao5
Author Affiliations
  • 1Beijing Institute of Space Mechanics & Electricity, Beijing 100094, China
  • 2Key Laboratory for Advanced Optical Remote Sensing Technology of Beijing, Beijing 100094, China
  • 3School of Electronic Engineering, Xidian University, Xi'an 710007, China
  • 4School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
  • 5School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing 100094, China
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    DOI: 10.3788/IRLA20220077 Cite this Article
    Haibo Zhao, Yanli Liu, Wenshuo Yang, Yun Su, Dahua Gao, Quansen Sun, Huijie Zhao. Double channels diffractive computational imaging spectrometer system[J]. Infrared and Laser Engineering, 2022, 51(5): 20220077 Copy Citation Text show less
    References

    [1] O F Kar, F S Oktem. Compressive spectral imaging with diffractive lenses. Optics Letters, 44, 4582(2019).

    [2] R V Skidanov, V A Blank, A A Morozov. Study of an imaging spectrometer based on a diffraction lens. Computer Optics, 39, 218-223(2015).

    [3] Michele Hinnrichs, Bradfd Hinnrichs. Imaging spectroscopy using embedded diffractive optical arrays [C]Proceedings of SPIE, 2017, 10402: 104020G.

    [4] Neelam Gupta. LWIR hyperspectral imager based on a diffractive optics lens [C]Proceedings of SPIE, 2009, 7303: 730314.

    [5] Mingqi Zhang, Guo Cao, Qiang Chen, et al. Image restoration method based on improved inverse filtering for diffractive optic imaging spectrometer. Computer Science, 46, 86-93(2019).

    [6] Liang Jingyu. Diffractive spectral imaging technology [D]. Hangzhou: Zhejiang University, 2012. (in Chinese)

    [7] Wenming Zeng, Yuheng Chen, Weimin Shen. Regularization image restoration algorithm for diffractive optic imaging spectrometer. Opto-Electronic Engineering, 41, 45-50(2014).

    [8] Xu Wang, Qiang Chen, Quansen Sun. Multichannel spectral-spatial total variation model for diffractive spectral image restoration. Journal of Computer Research and Development, 57, 413-423(2020).

    [9] C Yang, P Edwards, K Shi, et al. Proposal and demonstration of a spectrometer using a diffractive optical element with dual dispersion and focusing functionality. Optical Letters, 36, 2023-2025(2011).

    [10] V A Blank, R V Skidanov. Diffraction lens in imaging spectrometer. Computer Optics and Nanophotonics, 1490, 17-26(2015).

    [11] Zhang Mingqi. Image restation method based on improved inverse filtering f diffractive optic imaging spectrometer [D]. Nanjing: Nanjing University of Science Technology, 2018. (in Chinese)

    [12] Yefei Wang, Yanping Cheng, Yuan Yao, et al. Design of membrane diffractive athermal infrared optical system. Infrared Technology, 43, 422-428(2021).

    [13] Bin Fan, Yanli Liu, Haibo Zhao, et al. A new deep space hyperspectral diffraction computational imaging detection technology (Invited). Infrared and Laser Engineering, 49, 20201005(2020).

    [14] Xiaopeng Shao, Yun Su, Jinpeng Liu, et al. Connotation and system of computational imaging (Invited). Acta Photonica Sinica, 50, 1-23(2021).

    [15] Chunmin Zhang, Tingkui Mu, Tingyu Yan, et al. Overview of hyperspectral remote sensing technology. Spacecraft Recovery & Remote Sensing, 39, 104-114(2018).

    [16] Baohua Wang, Ke Li, Shaofan Tang, et al. Optical system design of a spaceborne imaging spectrometer with high resolution and super swatch. Spacecraft Recovery & Remote Sensing, 42, 92-99(2021).

    [17] Qing Wei, Jinming Liu, Qizhi Xu. Panchromatic and multispectral image fusion by ratio enhancement based on classification and block. Spacecraft Recovery & Remote Sensing, 42, 108-117(2021).

    Haibo Zhao, Yanli Liu, Wenshuo Yang, Yun Su, Dahua Gao, Quansen Sun, Huijie Zhao. Double channels diffractive computational imaging spectrometer system[J]. Infrared and Laser Engineering, 2022, 51(5): 20220077
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