• DocumentCode
    571573
  • Title

    Underwater Target Recognition Based on Module Time-frequency Matrix

  • Author

    Xu, Xi ; Shi, Min

  • Author_Institution
    Troops of PLA, Zhanjiang, China
  • Volume
    1
  • fYear
    2012
  • fDate
    26-27 Aug. 2012
  • Firstpage
    42
  • Lastpage
    44
  • Abstract
    Underwater target recognition based on S-transform with module time-frequency matrix similarity is studied in the paper. Compute the similarity rate between S-transform with module time-frequency matrix of test sample and which of normal sample. The test sample is classified according to maximum similarity principle. The method can achieve target recognition directly without using auxiliary classifier. The computing process is simple and fast. Simulation and test show the method is suited to underwater target recognition because of its high recognition rate and insensitive to noise.
  • Keywords
    image recognition; matrix algebra; transforms; S-transform; auxiliary classifier; maximum similarity principle; module time-frequency matrix similarity; normal sample; test sample; underwater target recognition; Discrete Fourier transforms; Noise; Programmable logic arrays; Support vector machines; Target recognition; Time frequency analysis; classifier; s-transform; similarity; underwater target recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2012 4th International Conference on
  • Conference_Location
    Nanchang, Jiangxi
  • Print_ISBN
    978-1-4673-1902-7
  • Type

    conf

  • DOI
    10.1109/IHMSC.2012.16
  • Filename
    6305620