• DocumentCode
    2508511
  • Title

    Research on Pansharpening Methods of High Spatial Resolution Ratio THEOS Images

  • Author

    Ma, Lu ; Jiao, Weili ; Kou, Lianqun ; Chai, Yuan

  • Author_Institution
    Center for Earth Obs. & Digital Earth, Grad. Univ. of Chinese Acad. of Sci., Beijing, China
  • fYear
    2011
  • fDate
    18-19 June 2011
  • Firstpage
    86
  • Lastpage
    89
  • Abstract
    Launched in 2008, THEOS has successfully received data. China has signed an agreement about receiving, processing, archiving, and distributing THEOS data with GISTDA. The data of THEOS will soon be applied to and play an important role in resources surveying, environment monitoring, disaster assessing, mapping, and digital city. However, the study about pansharpening methods of THEOS images is still limited. Besides, it has a high spatial resolution ratio between the multispectral image and panchromatic image of THEOS data, It´s quite valuable to study on the pansharpening methods of this kind of data. The pansharpening methods of high spatial resolution ratio images are discussed in detail in this paper. In order to improve the quality of the pansharpening image, the multi-step pansharpening method is introduced. The quality of the pansharpening images is analyzed from the two aspects of spatial and spectral information. According to the experiments, the pansharpening methods for THEOS data are suggested for the users finally.
  • Keywords
    environmental monitoring (geophysics); environmental science computing; geophysical image processing; remote sensing; China; GISTDA; THEOS data archiving; THEOS data distribution; THEOS data processing; THEOS data reception; THEOS images; THEOS multispectral image; THEOS panchromatic image; digital city; disaster assessing; environment monitoring; high spatial resolution ratio images; mapping; multistep pansharpening method; pansharpening image quality improvement; pansharpening methods; resource surveying; spatial information; spectral information; Correlation; Earth; Pixel; Principal component analysis; Remote sensing; Spatial resolution; Image Pansharpening; Image Pansharpening Quality; Multi-step Pansharpening; THEOS;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Future Computer Sciences and Application (ICFCSA), 2011 International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4577-0317-1
  • Type

    conf

  • DOI
    10.1109/ICFCSA.2011.26
  • Filename
    5968032