• DocumentCode
    2871616
  • Title

    A Small Targets Tracking Method for Water Mine Sonar Image Array

  • Author

    Chao Wang ; Keyu Jiang

  • Author_Institution
    Electron. Eng. Dept., Naval Univ. of Eng., Wuhan, China
  • Volume
    2
  • fYear
    2012
  • fDate
    28-29 Oct. 2012
  • Firstpage
    134
  • Lastpage
    137
  • Abstract
    Combining the static feature and the dynamic path in consecutive image array of small targets, this paper proposes a detecting method for small targets in sonar image: Improving the selection of (SRG) seeded region growing method, and defining the size of searching sub window, this paper realizes the selection of suspected targets in single image that have certain SRR (signal-to-reverberation ratio), to enhance the detection probability, we build the relative moving modal of vessel and targets, considering the shaking of vessel, obtain the searching limits and moving path of suspected targets in consecutive image array, and raise the principle of targets determination utilizing the IVF (intensity variation function). Experiment results show the validity of the algorithm.
  • Keywords
    feature extraction; geophysical image processing; image enhancement; probability; reverberation; sonar arrays; sonar detection; sonar imaging; sonar tracking; target tracking; IVF; SRR; consecutive image array; detection probability enhancement; dynamic path; intensity variation function; searching window; seeded region growing method; signal-to-reverberation ratio; static feature; target tracking method; vessel; water mine sonar image array; Arrays; Image resolution; Noise; Shape; Sonar detection; Target tracking; searching window; seeded region grow; small target detection; target tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Design (ISCID), 2012 Fifth International Symposium on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4673-2646-9
  • Type

    conf

  • DOI
    10.1109/ISCID.2012.186
  • Filename
    6405585