• DocumentCode
    558770
  • Title

    Spatio-temporal filter based small infrared target detection in highly cluttered sea background

  • Author

    Kim, Sungho ; Song, Taek Lyul ; Choi, Byungin ; Lee, Boo-Hwan ; Lee, Wang-Heon

  • Author_Institution
    Dept. of Electron. Eng., Yeungnam Univ., Gyeongsan, South Korea
  • fYear
    2011
  • fDate
    26-29 Oct. 2011
  • Firstpage
    1142
  • Lastpage
    1146
  • Abstract
    This paper presents a separate spatio-temporal filter based small infrared target detection method to address the sea-based infrared search and track (IRST) problem in dense sun-glint environment. It is critical to detect small infrared targets such as sea-skimming missiles or asymmetric small ships for national defense. On the sea surface, sun-glint clutters degrade the detection performance. Furthermore, if we have to detect true targets using only three images with a low frame rate camera, then the problem is more difficult. We propose a novel three plot correlation filter and statistics-based clutter reduction method to achieve robust small target detection rate in dense sun-glint environment. We validate the robust detection performance of the proposed method via real infrared test sequences including synthetic targets.
  • Keywords
    filtering theory; image sequences; infrared imaging; object detection; statistics; cluttered sea background; infrared test sequence; plot correlation filter; sea-based infrared search-and-track problem; small infrared target detection; spatio-temporal filter; statistics-based clutter reduction method; sun-glint environment; synthetic target; Horizonal Line; Infrared Search and Track; Small Target; Spatio-Temporal Filter; Sun-glint;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation and Systems (ICCAS), 2011 11th International Conference on
  • Conference_Location
    Gyeonggi-do
  • ISSN
    2093-7121
  • Print_ISBN
    978-1-4577-0835-0
  • Type

    conf

  • Filename
    6106099