• DocumentCode
    694569
  • Title

    Research on unsupervised multi-ship image segmentation algorithm of remote sensing platforms

  • Author

    Liang Ying-Jie ; Guo Fu-Liang ; Chen Xiu-Liang

  • Author_Institution
    Electron. Eng. Coll., Naval Univ. of Eng., Wuhan, China
  • fYear
    2013
  • fDate
    12-13 Oct. 2013
  • Firstpage
    1242
  • Lastpage
    1246
  • Abstract
    For the complexity of the ship feature classification and sensitivity of optical sensor to weather, airspace, illumination and other marine environment, we propose a new unsupervised multi-ship image segmentation algorithm of remote sensing platforms, including separation from the target area of the adaptive multi threshold criterion, algorithm based on multiscale Ncut hierarchical, multi-objective analysis of ship motion. Finally, through verification and analysis by experiment, comparing with other relevant segmentation methods, our method has better robustness and recognition effect.
  • Keywords
    image motion analysis; image segmentation; marine engineering; remote sensing; ships; adaptive multithreshold criterion; multiscale Ncut hierarchical ship motion; normalized cut method; remote sensing platforms; ship motion multiobjective analysis; unsupervised multiship image segmentation algorithm; Algorithm design and analysis; Classification algorithms; Correlation; Image segmentation; Marine vehicles; Matrix converters; Remote sensing; B-type correlation; Multi-ship Image; Ncut Criterion; Particle Algorithm; Remote Sensing Platforms; Target Detection; Unsupervised Segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Network Technology (ICCSNT), 2013 3rd International Conference on
  • Conference_Location
    Dalian
  • Type

    conf

  • DOI
    10.1109/ICCSNT.2013.6967327
  • Filename
    6967327