• DocumentCode
    2887057
  • Title

    Restoring Aqua MODIS band 6 by other spectral bands using compressed sensing theory

  • Author

    Xinghua Li ; Huanfeng Shen ; Chao Zeng ; Penghai Wu

  • Author_Institution
    Sch. of Resource & Environ. Sci., Wuhan Univ., Wuhan, China
  • fYear
    2012
  • fDate
    4-7 June 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The Aqua satellite launched in May 2002 is a key one in the Earth Observation System (EOS) mission of NASA. In the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor aboard the Aqua, 15 of all the 20 detectors in the band 6 are out of working. Therewith missing data exists. It is very significant to find the way to reconstruct its incomplete data efficiently. This paper proposes an approach to retrieve the missing data by the newborn Compressed Sensing (CS) theory, which can account for not only the large-area inpainting, but also the spatial autocorrelation property and the complementarity relationship among spectral bands. The experimental results validate that the proposed algorithm performs well compared with the state-of-art methods.
  • Keywords
    Earth; artificial satellites; compressed sensing; image resolution; Aqua MODIS band 6; Aqua satellite; EOS mission; Earth observation system; NASA; compressed sensing theory; moderate resolution imaging spectroradiometer; spectral bands; Abstracts; Educational institutions; Geoscience; MODIS; Manganese; Aqua; MODIS; compressed sensing; dictionary learning; inpainting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2012 4th Workshop on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4799-3405-8
  • Type

    conf

  • DOI
    10.1109/WHISPERS.2012.6874269
  • Filename
    6874269