• DocumentCode
    3534228
  • Title

    FPGA support for satellite computations of hyper spectral images

  • Author

    Gonzalez, Carlos ; Mozos, Daniel ; Resano, Javier

  • Author_Institution
    Comput. Archit. Dept., Univ. Complutense de Madrid, Madrid, Spain
  • fYear
    2009
  • fDate
    Aug. 31 2009-Sept. 2 2009
  • Firstpage
    715
  • Lastpage
    716
  • Abstract
    Satellites gather information from different sensors and send it using a temporal connection with very limited bandwidth. The bandwidth demand can be highly reduced if the satellite preprocesses the data and only sends relevant information. FPGAs offer the necessary flexibility and performance to carry out this preprocessing step. We have designed and implemented the well-known PPI algorithm for hyper spectral images providing better performance than previous HW implementations and reducing the penalties due to the I/O communications. We have also included a HW module for random number generation. The results show that our system can preprocess a hyper spectral image in a few seconds.
  • Keywords
    field programmable gate arrays; geophysical signal processing; image processing; program processors; random number generation; FPGA; PPI algorithm; hyper spectral image; preprocessor; random number generation; satellite computation; Algorithm design and analysis; Bandwidth; Computer architecture; Field programmable gate arrays; Hyperspectral imaging; Image sensors; Indexes; Pixel; Random number generation; Satellites;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Field Programmable Logic and Applications, 2009. FPL 2009. International Conference on
  • Conference_Location
    Prague
  • ISSN
    1946-1488
  • Print_ISBN
    978-1-4244-3892-1
  • Electronic_ISBN
    1946-1488
  • Type

    conf

  • DOI
    10.1109/FPL.2009.5272329
  • Filename
    5272329