• DocumentCode
    143396
  • Title

    Automatic cloud removal for Landsat 8 OLI images using cirrus band

  • Author

    Meng Xu ; Xiuping Jia ; Pickering, Mark

  • Author_Institution
    Sch. of Eng. & Inf. Technol., Univ. of New South Wales, Canberra, ACT, Australia
  • fYear
    2014
  • fDate
    13-18 July 2014
  • Firstpage
    2511
  • Lastpage
    2514
  • Abstract
    The detection of cirrus cloud has historically been difficult due to the lack of a 1.375μm wavelength band in earlier Landsat ETM+ imagery. Landsat 8 OLI has addressed this problem by adding a new cirrus band at this wavelength. This paper presents a study of the effectiveness of utilizing the newly available data for this purpose. An image-based method is developed for cirrus cloud contamination correction. The relationship between a visible or infrared band and the cirrus band is estimated via a linear regression using the data in a homogenous land cover area. The key issue of how to automatic identify homogenous background from the cirrus contaminated data is addressed. The images corrected by our method show satisfactory quality.
  • Keywords
    clouds; geophysical image processing; geophysical techniques; land cover; remote sensing; Landsat 8 OLI; Landsat ETM+ imagery; automatic cloud removal; cirrus cloud contamination correction; cirrus cloud detection; homogenous land cover area; image-based method; infrared band; linear regression; visible band; wavelength band; Atmospheric modeling; Clouds; Contamination; Earth; Remote sensing; Satellites; Water pollution; Landsat 8; OLI; cirrus cloud removal;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
  • Conference_Location
    Quebec City, QC
  • Type

    conf

  • DOI
    10.1109/IGARSS.2014.6946983
  • Filename
    6946983