• DocumentCode
    2140221
  • Title

    Robust remote sensing still image coding with low memory requirements

  • Author

    Cunha, Arthur L A da ; Finamore, Weiler A. ; Silva, Eduardo A B da

  • Author_Institution
    Centro de Estudos ern Telecomunicacoes, Pontificia Univ. Catolica do Rio de Janeiro, Brazil
  • Volume
    6
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    3305
  • Abstract
    A scheme for the efficient transmission of remote sensing satellite (RSS) images is presented in this paper. A joint source/channel coding solution was used to deal with the conflicting issues of data compression, to reduce the amount of data to be sent, and data protection, to cope with errors introduced by the channel, issues further burdened by the stringent low complexity and low memory requirements brought by the need for on-board compression. Results are presented showing that the proposed scheme attains good PSNR performance while still maintaining low complexity.
  • Keywords
    combined source-channel coding; data compression; geophysical signal processing; image coding; remote sensing; PSNR performance; complexity; data compression; data protection; efficient transmission; joint source/channel coding solution; memory requirements; robust remote sensing still image coding; Artificial satellites; Channel coding; Data compression; Image coding; PSNR; Protection; Remote sensing; Robustness; Signal to noise ratio; Telecommunications;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International
  • Print_ISBN
    0-7803-7536-X
  • Type

    conf

  • DOI
    10.1109/IGARSS.2002.1027164
  • Filename
    1027164