• DocumentCode
    440967
  • Title

    Distributed source coding of hyperspectral images

  • Author

    Barni, M. ; Papini, D. ; Abrardo, A. ; Magli, E.

  • Author_Institution
    Dept. of Inf. Eng., Siena Univ., Italy
  • Volume
    1
  • fYear
    2005
  • fDate
    25-29 July 2005
  • Abstract
    A first attempt to exploit distributed source coding (DSC) principles for the lossless compression of hyperspectral images is presented. The DSC paradigm is exploited to design a very light coder which minimizes the exploitation of the correlation between the image bands. In this way we managed to move the computational complexity from the encoder to the decoder, thus matching the needs of classical acquisition system where compression is achieved on board of the aerial platform and decoding at the ground station. Though the encoder does not explicitly exploit inter-band correlation, the achieved bit rate is about 1 bit/pixel lower than classical 2D schemes such as JPEG-LS or CALID 2D, and only about 1 b/p higher than the best performing, and much more complex, 3D schemes.
  • Keywords
    geophysical signal processing; geophysical techniques; image coding; remote sensing; source coding; CALID 2D; JPEG-LS; computational complexity; decoder; distributed source coding; encoder; hyperspectral images; image band correlation; interband correlation; lossless compression; Bit rate; Compression algorithms; Computational complexity; Decoding; Encoding; Entropy; Hyperspectral imaging; Image coding; Satellite ground stations; Source coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2005. IGARSS '05. Proceedings. 2005 IEEE International
  • Print_ISBN
    0-7803-9050-4
  • Type

    conf

  • DOI
    10.1109/IGARSS.2005.1526119
  • Filename
    1526119