• DocumentCode
    535855
  • Title

    Methods research for removing the stripe noise based on AVIRIS images

  • Author

    Li, Wanchen ; Cao, Yanli ; Chen, Yuxian

  • Author_Institution
    Inf. & Commun. Eng. Dept., Harbin Eng. Univ., Harbin, China
  • Volume
    2
  • fYear
    2010
  • fDate
    9-10 Oct. 2010
  • Firstpage
    107
  • Lastpage
    110
  • Abstract
    Stripe noise existing in all of remote sensing image which use of multiple detectors seriously affected the image quality. The existing stripe noise filtering methods have focused on the relatively narrow bandwidth or the law distribution stripe noise. However, because of different imaging mechanism, any width of the band may exist in the actual remote sensing images. Therefore, this paper presents an improved method of stripe noise elimination. This method is not subject to the restriction of band width and periodicity. It can automatically classify and smooth the stripe noises within any rows in AVIRIS image. By simulating on AVIRIS image, we can prove that this method can not only remove the stripe noises, but also can better ensure the quality of the image.
  • Keywords
    filtering theory; geophysical image processing; image denoising; interpolation; wavelet transforms; AVIRIS images; image quality; law distribution stripe noise; neighborhood interpolation algorithm; remote sensing image; stripe noise elimination; stripe noise filtering methods; wavelet transformation; Optical imaging; Signal to noise ratio; Wavelet transforms; AVIRIS image; moment matching method; neighborhood interpolation algorithm; stripe noise; wavelet transformation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Future Information Technology and Management Engineering (FITME), 2010 International Conference on
  • Conference_Location
    Changzhou
  • Print_ISBN
    978-1-4244-9087-5
  • Type

    conf

  • DOI
    10.1109/FITME.2010.5654880
  • Filename
    5654880