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HE Si-hua, YANG Shao-qing, SHI Ai-guo, LI Tian-wei. Ship target detection algorithm on sea surface based on block chaos feature of image sequence[J]. Journal of Traffic and Transportation Engineering, 2009, 9(1): 73-76. doi: 10.19818/j.cnki.1671-1637.2009.01.015
Citation: HE Si-hua, YANG Shao-qing, SHI Ai-guo, LI Tian-wei. Ship target detection algorithm on sea surface based on block chaos feature of image sequence[J]. Journal of Traffic and Transportation Engineering, 2009, 9(1): 73-76. doi: 10.19818/j.cnki.1671-1637.2009.01.015
shu

Ship target detection algorithm on sea surface based on block chaos feature of image sequence

doi: 10.19818/j.cnki.1671-1637.2009.01.015
  • 1.

    Department of Navigation, Dalian Naval Academy, Dalian 116018, Liaoning, China

  • 2.

    Unit 92493 of Chinese Navy, Huludao 125001, Liaoning, China

  • 3.

    Department of Information and Communication Engineering, Dalian Naval Academy, Dalian 116018, Liaoning, China

More Information
  • Author Bio:

    HE Si-hua(1979-), male, doctoral student, +86-411-85855428, sihua.he@163.com

    SHI Ai-guo(1956-), male, professor, +86-411-85855477, agshi2@tom.com

  • Received Date: 2008-10-01
  • Publish Date: 2009-02-25
    Abstract
  • In order to detect ship target on complex sea surface background, a new algorithm based on the block chaos feature of image sequence was proposed, the block largest Lyapunov exponent of image sequence was calculated by using small data sets, the change of background chaos feature was analyzed when moving target existed, ship target signal submerged by background signal was detected based on the change difference of chaos feature, and 100 frame images were used to detect ship target. Experiment result shows that the detection rate of the proposed algorithm is 100%, its false alarm rate is 5%, so the algorithm is superior to statistical analysis method.

     

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