• DocumentCode
    1864522
  • Title

    Research on Marine and Freshwater Fish Identification Model Based on Hyper-spectral Imaging Technology

  • Author

    Guo Peiyuan ; Fu Yan ; Xiang Lingzi ; Bao Man ; Chen Xinghai

  • Author_Institution
    Coll. of Comput. & Inf. Eng., Beijing Technol. & Bus. Univ., Beijing, China
  • Volume
    1
  • fYear
    2013
  • fDate
    26-27 Aug. 2013
  • Firstpage
    369
  • Lastpage
    372
  • Abstract
    With the gradually mature of hyper spectral image technology, the application of the meat nondestructive detection and recognition has become one of the current research focuses. This paper for the study of marine and freshwater fish by the pre-processing and feature extraction of the collected spectral curve data, combined with BP network structure and LVQ network structure, a predictive model of hyper spectral image data of marine and freshwater fish has been initially established and finally realized the qualitative analysis and identification of marine and freshwater fish quality.
  • Keywords
    aquaculture; backpropagation; feature extraction; geophysical image processing; hyperspectral imaging; BP network structure; LVQ network structure; feature extraction; freshwater fish identification model; freshwater fish quality; hyper-spectral imaging technology; marine fish identification model; marine fish quality; meat nondestructive detection; meat nondestructive recognition; predictive model; spectral curve data; Hyperspectral imaging; Imaging; Marine animals; Neurons; Predictive models; Reflectivity; Training; BP network; Hyper-spectral image technology; LVQ network; Marine and Freshwater Fish;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2013 5th International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-0-7695-5011-4
  • Type

    conf

  • DOI
    10.1109/IHMSC.2013.94
  • Filename
    6643906