• DocumentCode
    3306957
  • Title

    Spectral data analysis of ground objects in Chao Lake basin

  • Author

    Liu, Jia ; Yin, Qiu ; Xu, Hua ; Li, Li ; Chen, Zhenghua ; Ren, Yuhuan ; Hou, Weizhen ; Yin, Pengfei

  • Author_Institution
    Inst. of Remote Sensing Applic., Chinese Acad. of Sci., Beijing, China
  • fYear
    2010
  • fDate
    25-30 July 2010
  • Firstpage
    891
  • Lastpage
    894
  • Abstract
    Based on a great deal of spectral data for different kinds of ground objects which were denoised by wavelet transform method, the spectral characteristics and changing rules of water, paddy field, wheat, cole and vegetable greenhouse in Chao Lake basin were analyzed with ASD portable spectrum analyzer by field investigation and plot survey. The spectral data of typical ground objects in Chao Lake basin were also processed by using mathematics technology such as de-noising technology of derivative spectrum technology and normalization processing technology. It was shows that wavelet transform had advantage in de-noising because it could remove the noise from signal as well as preserve the detail information; derivative spectrum and normalization processing technology had better practicability in suppressing background effect and emphasizing the signal of objects.
  • Keywords
    geophysical image processing; geophysical techniques; image denoising; remote sensing; spectral analysis; wavelet transforms; ASD portable spectrum analyzer; Chao Lake basin; background effect supression; cole; derivative spectrum; ground objects; image denoising; normalization processing; paddy field; spectral data analysis; vegetable greenhouse; water area; wavelet transform method; wheat; Green products; Lakes; Plastics; Reflectivity; Remote sensing; Wavelet transforms; Remote sensing; Spectral analysis; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
  • Conference_Location
    Honolulu, HI
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4244-9565-8
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2010.5649917
  • Filename
    5649917