• DocumentCode
    1845435
  • Title

    Experiments in the lossless compression of time series satellite images using multispectral image compression techniques

  • Author

    Spring, James M. ; Langdon, Glen G., Jr.

  • Author_Institution
    Dept. of Comput. Eng., California Univ., Santa Cruz, CA, USA
  • Volume
    2
  • fYear
    1997
  • fDate
    2-5 Nov. 1997
  • Firstpage
    1437
  • Abstract
    This paper is a preliminary study reporting on the results of experiments to take advantage of interband correlation between images from the GOES-West satellite. Experiments primarily focus on attempting to improve the prediction of pixel intensities using information between images in a close time sequence. We apply the use of motion vectors, linear and nonlinear predictors, as well as context modelling. Initial results show some promise, but more study is needed.
  • Keywords
    data compression; geophysical signal processing; image coding; remote sensing; GOES-West satellite; context modelling; interband correlation; linear predictors; lossless compression; motion vectors; multispectral image compression techniques; nonlinear predictors; pixel intensities; time series satellite images; Brightness; Clouds; Context modeling; Image coding; Image resolution; Multispectral imaging; Pixel; Satellites; Springs; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems & Computers, 1997. Conference Record of the Thirty-First Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA, USA
  • ISSN
    1058-6393
  • Print_ISBN
    0-8186-8316-3
  • Type

    conf

  • DOI
    10.1109/ACSSC.1997.679141
  • Filename
    679141