• DocumentCode
    1880880
  • Title

    The signal to noise ratio assessment of CE-1 IIM data

  • Author

    Shuai, Tong ; Zhang, Xia ; Zhao, Dong

  • Author_Institution
    Inst. of Remote Sensing Applic., Beijing, China
  • fYear
    2011
  • fDate
    24-29 July 2011
  • Firstpage
    1029
  • Lastpage
    1032
  • Abstract
    As one of the most important payloads on Chang´e-1 satellite, the Interference Imaging Spectrometer (IIM) got large amounts of hyperspectral data for retrieving elements and mineral information of the lunar surface. The signal to noise ratio (SNR) of the IIM hyperspectral data has been assessed for the further applications of the IIM data. As the assessment results show, the SNR of the IIM data shows good value on the whole and the middle bands are much higher than the bands at the both ends. As the reflectance peak of the plagioclase and the pyroxene spectrum, the bands centered around 750nm exhibit high SNR, which is of great importance for retrieving elements and minerals on the lunar surface. However, the bands centered around 930nm, as the absorption valley, exhibit poor SNR. As the SNRs are not high enough on the whole, the noises of the first nine bands should be reduced carefully before used, although they have an obvious trend of rising. Moreover, the first band and the last one have too low SNRs to use.
  • Keywords
    astronomical instruments; astronomical spectra; lunar surface; CE-1 IIM DATA; Chang´e-1 satellite; Interference Imaging Spectrometer; absorption valley; element information retrieval; hyperspectral data; lunar surface; mineral information retrieval; plagioclase; pyroxene spectrum; reflectance peak; signal-to-noise ratio assessment; Hyperspectral imaging; Imaging; Moon; Reflectivity; Signal to noise ratio; CE-1; IIM; SNR; Signal to Noise Ratio; information quality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International
  • Conference_Location
    Vancouver, BC
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4577-1003-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.2011.6049309
  • Filename
    6049309