Laser & Optoelectronics Progress, Volume. 62, Issue 14, 1400002(2025)

Research Progress on Structure and Application of Underwater Hyperspectral Imaging Systems

Xiangzi Chen1,3, Ziping Yun1,3, Mengming Zeng3, Xiaolong Zhu1,3, Xiaoju Pan1,3, Mingqi Xu1,3, Enci Zhu1,3, and Qingsheng Xue2,4、*
Author Affiliations
  • 1Yazhou Bay Innovation Research Institute, Hainan Tropical Ocean University, Sanya 572022, Hainan , China
  • 2College of Physics and Optoelectronic Engineering, Department of Information Science and Engineering, Ocean University of China, Qingdao 266100, Shandong , China
  • 3College of Marine Science and Technology, Hainan Tropical Ocean University, Sanya 572022, Hainan , China
  • 4Engineering Research Center of Advanced Marine Physical Instruments and Equipment, Ministry of Edu-cation, Qingdao 266100, Shandong , China
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    Figures & Tables(31)
    Schematic of working process of underwater hyperspectral imaging detection system[12]
    Data cubes acquired by different types of imaging spectrometers[15]
    Working principle of prism-grating-prism (PGP) spectrograph[17]
    Types of peripheral sensor of underwater hyperspectral imaging system
    Spatiotemporal scale diagram of hyperspectral imaging detection platform[32]
    Fixed underwater maneuvering track[11]
    Different color groups and physiological states maps obtained by scanning corals using underwater hyperspectral imaging system prototype[11]
    Underwater hyperspectral imaging detection system of Max-Planck Institute for oceanography[37]
    Underwater sediment image and chlorophyll concentration distribution based on hyperspectral data inversion[37]
    Unmanned surface vehicle equipped with an underwater hyperspectral imaging system[38]
    Results of push scan and classification of shallow water hyperspectral push scan detection system[38]
    Unmanned underwater vehicle. (a) Remote control unmanned aerial vehicle[10]; (b)‒(d) dual-micro ROV systems[42]
    Results of NTNU underwater push scan experiment in 2016[40]
    Results of underwater manganese nodule push scanning by NTNU and spectral classification results[41]
    An autonomous underwater vehicle equipped with UHI[43]
    Results of underwater hyperspectral imaging detection based on AUV[43]
    Concept design of the under-ice hyperspectral and RGB imaging system[4]
    HyperDiver underwater hyperspectral imaging detection system[45]
    Data obtained by the HyperDiver underwater hyperspectral imaging detection system[45]
    Monitoring station of underwater hyperspectral detection system based on fixed platform[9]
    Results of push scan and classification of the fixed point swing scan underwater hyperspectral imaging detection system[9]
    Supervised classification images of shipwreck cross sections[10]
    Pseudo-RGB images of underwater pipelines and underwater hyperspectral images based on different optical fingerprints[11]
    Study on lice situation of salmon using UHI[34]
    Spectral data of microplastic and SVM classification results [6]
    The United States Navy uses hyperspectral imagers for mine and submarine detection experiments[52]
    • Table 1. Comparison of different types of imaging modes

      View table

      Table 1. Comparison of different types of imaging modes

      TypeImaging efficiencySpatial resolutionSpectral resolutionGeometric correctionAnti-shake performanceRange of application
      WhiskbroomLowLowHighDifficultPoorMost are currently deployed on satellite platforms, unsuitable for underwater application
      PushbroomHighHighHighIntermediateRelatively poorLarge-or small-scale underwater detection work
      StaringRelatively lowHighLowEasyRelatively goodSmall scale underwater detection work on a fixed point
      SnapshotHighSpatial resolution or spectral resolution affect each otherEasyGoodLarge-or small-scale underwater detection work(have not been applied to underwater detection work)
    • Table 2. Comparison of different light sources

      View table

      Table 2. Comparison of different light sources

      IlluminantLuminous efficiencyPhotometric quantityPower dissipationDimensionPrice
      LEDHighHighRelatively lowSmallRelatively low
      Laser lightHighHighLowSmallHigh
      Halogen lampRelatively lowRelatively lowHighRelatively largeRelatively low
    • Table 3. Research and application of underwater biological spectral characteristics

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      Table 3. Research and application of underwater biological spectral characteristics

      AbstractObjectMethodOperating platformOperating areaReference
      Species-specific absorption and hyperspectral reflection characteristics of pigment extraction from marine organisms

      Spoon worms,

      sponges

      LaboratoryRef. [47] (2014)
      Spectral characteristics of corallina were obtained by pigment extraction for habitat investigation.Corallina

      Scene,

      laboratory

      ROVShoal waterRef. [31] (2017)
      Samples exposed to 2-methylnaphthalene were observed and classified to assess the ability of UHI in coral health monitoring.Coldwater coralLaboratoryRef. [48] (2019)
    • Table 4. Application examples of UHI in benthic habitat investigation

      View table

      Table 4. Application examples of UHI in benthic habitat investigation

      AbstractObjectMethodOperating platformOperating areaReference
      HyperDiver applications in tropical coral reef surveys operated by divers.Benthic habitatSceneDiverShallow waterRef. [45] (2017)
      UHI as a taxonomic tool for in situ observation of deep-sea megafauna.Deep-sea megafaunaROVDeep-seaRef. [8] (2018)
      Feasibility study of mapping benthic habitat in shallow water area by using UHI of underwater unmanned vehicleBenthic habitatUSVShallow waterRef. [31] (2017)
      A non-invasive inverted system with a special perspective that can observe ice algae and calculate chlorophyll concentrations.Sea iceIce sledIce layerRef. [4] (2019)
    • Table 5. Application examples of underwater hyperspectral technology in marine mineral exploration

      View table

      Table 5. Application examples of underwater hyperspectral technology in marine mineral exploration

      AbstractObjectMethodOperating platformReference
      Identification and classification of objects on the seafloor by UHI onboard the platformMinerals, substratesSceneUUVRef. [30] (2013)
      For the first time, a full-scale hyperspectral imager was installed on the AUV for mapping large-scale sulfide depositsSulfide depositAUVRef. [43](2017)
      The first underwater hyperspectral imaging in situ detection of manganese nodules at a depth of about 4195 m in the Peru Basin (southeast Pacific)Manganese noduleROVRef. [8] (2018)
      The UHI was deployed on a fixed platform to classify concentrated hydrothermal materials and map the Trans-Atlantic Geotraverse (TAG) thermal night fieldHydrothermal materialFixed platformRef. [9] (2019)
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    Xiangzi Chen, Ziping Yun, Mengming Zeng, Xiaolong Zhu, Xiaoju Pan, Mingqi Xu, Enci Zhu, Qingsheng Xue. Research Progress on Structure and Application of Underwater Hyperspectral Imaging Systems[J]. Laser & Optoelectronics Progress, 2025, 62(14): 1400002

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    Paper Information

    Category: Reviews

    Received: Nov. 21, 2024

    Accepted: Feb. 28, 2025

    Published Online: Jul. 16, 2025

    The Author Email: Qingsheng Xue (xueqingsheng@ouc.edu.cn)

    DOI:10.3788/LOP242310

    CSTR:32186.14.LOP242310

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