• DocumentCode
    552495
  • Title

    Target detection in maritime search and rescue using SVD and frequency domain characteristics

  • Author

    Ren, Lei ; Shi, Chao-jian ; Ran, Xin

  • Author_Institution
    Merchant Marine Coll., Shanghai Maritime Univ., Shanghai, China
  • Volume
    2
  • fYear
    2011
  • fDate
    10-13 July 2011
  • Firstpage
    556
  • Lastpage
    560
  • Abstract
    A target detection method based on SVD and frequency domain characteristics in maritime search and rescue is proposed. The method can select maritime search and rescue targets from textured sea scenes. Firstly, intensity component is obtained and is decomposed using SVD. The first 80% singular components are combined to represent the dominant pattern of input image. Secondly, spectral residual approach and phase spectrum approach are applied to the difference between intensity component and corresponding dominant pattern. The resulting saliency maps show the salient region in maritime search and rescue visual scene and there by target detection performed.
  • Keywords
    engineering computing; marine engineering; object detection; singular value decomposition; SVD; frequency domain characteristics; input image dominant pattern; intensity component; maritime search and rescue; phase spectrum approach; saliency maps; singular components; spectral residual approach; target detection; Clutter; Computational modeling; Frequency domain analysis; Image color analysis; Object detection; Strontium; Visualization; Maritime search and rescue; Phase spectrum; Singular value decomposition; Spectral residual; Target detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2011 International Conference on
  • Conference_Location
    Guilin
  • ISSN
    2160-133X
  • Print_ISBN
    978-1-4577-0305-8
  • Type

    conf

  • DOI
    10.1109/ICMLC.2011.6016763
  • Filename
    6016763