Volume 49 Issue 2
Mar.  2020
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Article Navigation >  Infrared and Laser Engineering  > 2020  >  49(2): 0203005-0203005

Song Hong, Wan Qixin, Wu Chaopeng, Shentu Yichun, Wang Wenxin, Yang Ping, Jia Wenjuan, Li Hongzhi, Huang Hui, Wang Hangzhou, Zhan Shuyue. Development of an underwater spectral imaging system based on LCTF[J]. Infrared and Laser Engineering, 2020, 49(2): 0203005-0203005. doi: 10.3788/IRLA202049.0203005
Citation: Song Hong, Wan Qixin, Wu Chaopeng, Shentu Yichun, Wang Wenxin, Yang Ping, Jia Wenjuan, Li Hongzhi, Huang Hui, Wang Hangzhou, Zhan Shuyue. Development of an underwater spectral imaging system based on LCTF[J]. Infrared and Laser Engineering, 2020, 49(2): 0203005-0203005. doi: 10.3788/IRLA202049.0203005
shu

Development of an underwater spectral imaging system based on LCTF

doi: 10.3788/IRLA202049.0203005

  • 1. Ocean College, Zhejiang University, Zhoushan 316021, China;

  • 2. Department of Digital Media, Hangzhou University of Electronic Science and Technology, Hangzhou 310018, China;

  • 3. National Ocean Technology Center, Tianjin 300112, China

  • Received Date: 2019-10-11
  • Rev Recd Date: 2019-11-21
  • Publish Date: 2020-03-02
  • Underwater spectral imaging technology plays an important role in underwater object recognition and ocean ecological monitoring. An underwater spectral imaging system using liquid crystal tunable filter (LCTF) was designed based on the actual engineering environment. The system obtained spectral information by using LCTF as a filter structure. Under the illumination of a wide-spectrum LED, a pool experiment was performed to obtain 31 channel spectral images of the target between 400 and 700 nm. The spectral information of objects with similar colors under water was discussed and analyzed. The results show that the system is helpful for underwater target recognition and classification. In-situ observation of corals in the sea trial successfully obtained underwater spectral images of coral reefs. The system is expected to be applied to ocean remote sensing, ocean ecological environment monitoring and other fields.
  • [1] Geir Johnsen, Martin Ludvigsen, Asgeir Sorensen, et al. The use of underwater hyperspectral imaging deployed on remotely operated vehicles-methods and applications[J]. IFAC Papers on Line, 2016, 9(23):476-481.
    [2] Mehrube Mehrubeoglu, Dustin K Smith, Shane W Smith,et al. Investigating coral hyperspectral properties across coral species and coral state using hyperspectral imaging[C]//Optics & Photonics-Optical Engineering+ Applications, 2013:21.
    [3] Yu Lei. Upgrade of a UV-VIS-NIR imaging spectrometer for the coastal ocean observation:concept, design, fabrication, and test of prototype[J]. Optics Express, 2017, 25(13):11526.
    [4] Dumke I, Nornes S M, Purser A. First hyperspectral imaging survey of the deep seafloor:High-resolution mapping of manganese nodules[J]. Remote Sensing of Environment, 2018, 209:19-30.
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Development of an underwater spectral imaging system based on LCTF

doi: 10.3788/IRLA202049.0203005
  • 1. Ocean College, Zhejiang University, Zhoushan 316021, China;
  • 2. Department of Digital Media, Hangzhou University of Electronic Science and Technology, Hangzhou 310018, China;
  • 3. National Ocean Technology Center, Tianjin 300112, China
  • Received Date: 2019-10-11
  • Rev Recd Date: 2019-11-21
  • Publish Date: 2020-03-02

Abstract: Underwater spectral imaging technology plays an important role in underwater object recognition and ocean ecological monitoring. An underwater spectral imaging system using liquid crystal tunable filter (LCTF) was designed based on the actual engineering environment. The system obtained spectral information by using LCTF as a filter structure. Under the illumination of a wide-spectrum LED, a pool experiment was performed to obtain 31 channel spectral images of the target between 400 and 700 nm. The spectral information of objects with similar colors under water was discussed and analyzed. The results show that the system is helpful for underwater target recognition and classification. In-situ observation of corals in the sea trial successfully obtained underwater spectral images of coral reefs. The system is expected to be applied to ocean remote sensing, ocean ecological environment monitoring and other fields.

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