• DocumentCode
    1823923
  • Title

    Infrared Small Weak Target Detection via HOSA

  • Author

    Zhang, Gaoyu

  • Author_Institution
    Comput. Sci. Inst., Fudan Univ., Shanghai, China
  • Volume
    1
  • fYear
    2009
  • fDate
    18-20 Aug. 2009
  • Firstpage
    431
  • Lastpage
    434
  • Abstract
    After the characteristics and shortage of some old algorithm about the infrared small weak targets detection being analyzed, a kind of new detection algorithm via high order spectral analysis is proposed for single frame image. Taking the gray level data of the image ground as the noise signal, the gray level data of small weak targets as the harmonic signal mixed in the noise signal, the gray level data of row and arrange pixel in image are processed via power spectral analysis and high order cumulation analysis to restrain noise and detect harmonic. The distinguishability of detection lies on the piece of the rows being spectrum analyzed on the same time. The advantage of the algorithm consists of adopting the same examine theory, easy accomplishment, having the higher accuracy, and needing data limited by the single frame image only. Finally an example applied the detection algorithm is given.
  • Keywords
    harmonic analysis; infrared imaging; object detection; spectral analysis; gray level data; harmonic detection; harmonic signal; high order cumulation analysis; high order spectral analysis; infrared small weak target detection; noise signal; power spectral analysis; single frame image; Detection algorithms; Image analysis; Infrared detectors; Infrared imaging; Infrared spectra; Noise level; Object detection; Power system harmonics; Signal processing; Spectral analysis; high order spectral analysis; infrared image; single frame; small weak targets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Assurance and Security, 2009. IAS '09. Fifth International Conference on
  • Conference_Location
    Xian
  • Print_ISBN
    978-0-7695-3744-3
  • Type

    conf

  • DOI
    10.1109/IAS.2009.182
  • Filename
    5284173