• Infrared and Laser Engineering
  • Vol. 51, Issue 10, 20220019 (2022)
Hong Song1, Yangfan Zhang1, Ping Yang2, Chaopeng Wu1, Mengjie Wang1, Zixin Li1, Raza Mehdi Syed1, Tianliang Wang1, and Hui Huang3
Author Affiliations
  • 1Ocean College, Zhejiang University, Zhoushan 316021, China
  • 2School of Media & Design, Hangzhou Dianzi University, Hangzhou 310018, China
  • 3Hainan Institute of Zhejiang University, Sanya 572024, China
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    DOI: 10.3788/IRLA20220019 Cite this Article
    Hong Song, Yangfan Zhang, Ping Yang, Chaopeng Wu, Mengjie Wang, Zixin Li, Raza Mehdi Syed, Tianliang Wang, Hui Huang. Research on spectral reflectance measurement based on LCTF imager[J]. Infrared and Laser Engineering, 2022, 51(10): 20220019 Copy Citation Text show less

    Abstract

    Spectral reflectance of targeted object is considered a vital inherent physical property in underwater spectral detection. However, the underwater environment poses significant challenges in spectral detection through strong absorption and scattering effects of light. To explore the influence of water turbidity on the accuracy of spectral detection, this paper describes the spectral reflectance detection under varying turbidity. Underwater spectral imaging system based on liquid crystal tunable filter (LCTF) is used for experimentation. Results proved that the increase in turbidity will further enhance the scattering intensity of water body. Based on the nonlinear increase in the pixel response of black and white board, the rapid upsurge in scattering intensity between 400–500 nm is noticed. Simultaneously, the spectral reconstruction method is applied, which yielded in maximum absolute error of 5.3% for spectral reflectance under different turbidity conditions.
    Hong Song, Yangfan Zhang, Ping Yang, Chaopeng Wu, Mengjie Wang, Zixin Li, Raza Mehdi Syed, Tianliang Wang, Hui Huang. Research on spectral reflectance measurement based on LCTF imager[J]. Infrared and Laser Engineering, 2022, 51(10): 20220019
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